Voice assessment: updates on perceptual, acoustic, aerodynamic, and endoscopic imaging methods

Acoustic Parameters After Vocal Technique Associated With Virtual Reality With Electromyographic Biofeedback and Rhythmic Auditory Stimulation in Individuals With Parkinson's Disease

OBJECTIVE

To compare the post technique effect of pushing with plosive sounds associated with virtual reality (VR) using electromyographic biofeedback and rhythmic auditory stimulation (RAS) on acoustic parameters in the voice of individuals with Parkinson's disease (PD).

METHOD

The study sample included 30 individuals with PD (15 men and 15 women), with a mean age of 62.13 ± 9.05 years. All participants underwent vocal exercises associated with VR and RAS interventions. The first intervention was randomly assigned, and the second was conducted after 7 days. Speech tasks were recorded before and after interventions. The study analyzed the acoustic voice parameters from these recordings, assessed the participants' satisfaction after VR and RAS, and surveyed their preference between these strategies.

RESULTS

The jitter, shimmer, and vocal irregularity parameters of the individuals with PD improved after the vocal technique associated with RAS. No improvements in these parameters were observed with VR. The comparison between RAS and VR results showed a reduction in shimmer with RAS. Participants reported a significant preference for VR rather than RAS in combination with vocal exercises.

CONCLUSION

The vocal technique associated with RAS applied to individuals with PD improved vocal parameters related to sound wave perturbation. The study population preferred VR to RAS.

What do the voice-related parameters tell us? The multiparametric index scores, cepstral-based methods, patient-reported outcomes, and durational measurements

PURPOSE

This study aimed to identify how the acoustic parameters, patient-reported outcomes (PROs), and durational measurements differ based on perceptually rated dysphonia severity and to investigate their relationship with dysphonia severity.

METHODS

One hundred seventy-nine subjects (males-78, females-101; mean ± SD age of 47.79 ± 14.05 years) with various etiology of dysphonia were included in this prospective cohort study. The G parameter of GRBAS was used to rate dysphonia severity. The Acoustic Voice Quality Index (AVQI v. 03.01), Acoustic Breathiness Index (ABI), and cepstral peak prominence-smoothed (CPPS) values for sustained vowel (CPPSsv) and connected speech (CPPScs) samples were obtained using the Praat software. The Voice Handicap Index-10 (VHI-10) and Voice-Related Quality of Life (V-RQOL) were used for PROs, and the maximum phonation time (MPT) and s/z ratio were measured as durational parameters.

RESULTS

The acoustic parameters, including AVQI and ABI scores, and CPPSsv and CPPScs values significantly differed based on dysphonia severity, particularly in those with moderate (G2) or severe dysphonia (G3) compared to those with normal (G0) and/or slightly deviated (G1) voice. Among the PROs, VHI-10 scores significantly differed only between the groups G1 and G2 (p < 0.005) and the groups G1 and G3 (p < 0.005), whilst there were not any significant differences between the V-RQOL scores of all the compared groups. Significant differences were observed within the groups for MPT, but the s/z ratio significantly differed only between the groups G1 and G3. Correlation analysis revealed significant relationships between the G parameter of GRBAS and all measured variables (p < 0.001).

CONCLUSIONS

Particular attention should be paid to the AVQI and ABI scores, CPPsv and CPPcs values, VHI-10 scores, and MPT values since they provide valuable information for overall dysphonia severity.

Chinese Expert Consensus for Assessment of Vocal Function (2024): Guidelines of the Subspecialty Group of Voice, Society of Otorhinolaryngology Head and Neck Surgery, Chinese Medical Association; Subspecialty Group of Laryngopharyngology, Editorial Board of Chinese Journal of Otorhinolaryngology Head and Neck Surgery

The assessment of vocal function plays an important role in the diagnosis of voice disorders. With the continuous development of voice medicine in China, the evaluation, diagnosis, and treatment of voice disorders are gradually professionalized and standardized. Experts of the Subspecialty Group of Voice, Society of Otorhinolaryngology Head and Neck Surgery, Chinese Medical Association; Subspecialty Group of Laryngopharyngology, Editorial Board of Chinese Journal of Otorhinolaryngology Head and Neck Surgery reached the expert consensus through clinical research, literature search, and quality evaluation, as well as two meetings and two rounds of questionnaire voting. It includes the baseline information of patients, subjective and objective assessment of voice quality, voice-related quality of life assessment, laryngoscopy and vocal fold vibration evaluation, aerodynamic analysis, laryngeal neuromuscular electrophysiological function evaluation, and many other aspects. This is the first expert consensus on vocal function assessment in China and provides appropriate guidance recommendations to voice specialists, otolaryngologists, and primary care practitioners in China.

Cepstral Peak Prominence: A Valuable Measure of Voice Outcome Severity in Patients With Unilateral Vocal Fold Paralysis

OBJECTIVES

This study investigated the relationship between the position of the paralyzed vocal fold and voice quality in patients with unilateral vocal fold paralysis (UVFP) and identified a reliable acoustic analysis tool to enhance the accuracy of voice quality assessments in this population.

METHODS

A retrospective case-control study was conducted with 70 patients with UVFP diagnosed at Mackay Memorial Hospital. Acoustic features-jitter, shimmer, the harmonic-to-noise ratio (HNR), and the cepstral peak prominence smoothed (CPPs)-were analyzed using the Praat software. A speech-language pathologist performed an auditory-perceptual assessment by using a perceptual voice evaluation scale, and a senior laryngologist reviewed the paralyzed fold's position endoscopically. Spearman's linear regression analysis was used to examine correlations between perceptual and acoustic parameters and the position of the paralyzed vocal fold.

RESULTS

The position of the paralyzed vocal fold exhibited weak correlations with acoustic and auditory-perceptual variables (r = 0.205-0.39). By contrast, moderate-to-strong correlations were discovered between auditory-perceptual variables and acoustic parameters (r = 0.378-0.803). Notably, the CPPs was more strongly associated with overall grade (severity: r = 0.673) and breathiness (r = -0.803) than with jitter, shimmer, and the HNR (r = 0.378-0.614).

CONCLUSIONS

The position of the paralyzed vocal fold alone is insufficient for predicting voice outcomes in patients with UVFP. The CPPs is a more valuable indicator of perceived dysphonia severity, particularly in cases with audible breathiness, making it superior to jitter, shimmer, and the HNR for perceptual voice assessments in patients with UVFP.

Aerodynamic Threshold Measures for Reflecting Glottal Closure in Voice Disorders

PURPOSE

Previous work suggested that phonation threshold pressure (PTP), phonation threshold flow (PTF), and phonation threshold power (PTW) could be effective aerodynamic measures for quantifying glottal incompetence. This study examined how these measures could reflect varying extent of incomplete glottal closure in individuals with voice disorders.

METHOD

Thirty individuals formally diagnosed with glottal incompetence, including 10 with hypofunctional disorders (hypo group) and 20 with hyperfunctional disorders (hyper group), and 30 individuals with normal voice (control group) participated in the study. PTP was measured indirectly by intra-oral pressure during production of bilabial stop consonant-vowel syllables, PTF was measured during the sustained vowel /a/, and PTW was obtained as the product of PTP and PTF. The extent of incomplete glottal closure was quantified by normalized glottal gap (NGG) and normalized glottal gap area (NGGA) based on image analysis of videostroboscopic recordings of sustained /i/.

RESULTS

Significant differences in all threshold measures (p < .05) were found among three participant groups with medium-to-large effect sizes (ηp2 = .128-.220), with significantly higher values for the hypo group than the control group and no significant differences between the hyper and control groups. Receiver operating characteristic (ROC) analysis showed the highest diagnostic or classification accuracy contrasting between the hypo and control groups (area under the ROC curve = .717-.757), with the highest classification accuracy for PTW. There were significant, moderate-to-strong positive correlations with NGG and NGGA for the disorders group (Pearson's r = .4244-.6226) and the hypo group (r = .5689-.8949).

CONCLUSIONS

These measures could be effective for identifying glottal incompetence, especially for hypofunctional disorders. PTW could be more sensitive than PTP and PTF in reflecting the extent of incomplete glottal closure, consistent with theoretical predictions. Their relative sensitivities for quantifying distinct incomplete glottal closures specific to different voice disorders should be evaluated in future studies.

Relationship Between Oropharyngeal Geometry and Acoustic Parameters in Singers: A Preliminary Study

OBJECTIVE

To verify possible correlations between formant and cepstral parameters and oropharyngeal geometry in singers, stratified by sex.

METHOD

Voice records and oropharyngeal measures of 31 singers - 13 females and 18 males, mean age of 28 (±5.0) years - were retrieved from a database and analyzed. The oropharyngeal geometry measures were collected with acoustic pharyngometry, and the voice records consisted of sustained vowel /Ԑ/ phonation, which were exported to Praat software and edited to obtain the formant and cepstral parameters, stratified by sex. The Pearson linear correlation test was applied to relate voice parameters to oropharyngeal geometry, at the 5% significance level; the linear regression test was used to justify the variable related to the second formant.

RESULTS

Differences between the sexes were identified only in the oral cavity length (greater in males) and pharyngeal cavity length (greater in females). There was a linear correlation between the third formant and the cepstrum in the female group. In the male group, there was a linear correlation between the cepstrum and the third and fourth formants. A positive linear correlation with up to 95% confidence was also identified between the pharyngeal cavity volume and the second formant in the female group, making it possible to estimate a regression model for the second formant (R2 = 0.70).

CONCLUSION

There are correlations between the oropharyngeal geometry and formant and cepstral parameters in relation to sex. The pharyngeal cavity volume showed the greatest correlation between females and the second formant.

A Scoping Review on the Intersection Between Voice and Swallowing Measures in Healthy and Disordered Populations

PURPOSE

Voice and swallowing are distinct functions that share anatomical and physiological properties; however, research investigating their intersection is limited. The purpose of this scoping review was to explore the literature surrounding the relationship between voice and swallowing measures in healthy adults and those with non-degenerative disorders. Specifically, we aimed to elucidate whether objective voice measures could be used as correlates of swallowing function.

METHOD

We systematically searched four databases (Embase, PubMed, CINAHL, and Web of Science) for relevant literature using a combination of key words and controlled vocabulary generated from the Yale Mesh Analyzer. The inclusion criteria consisted of peer-reviewed studies in the English language that reported on healthy adults and/or patients with non-degenerative neurological disorders and pulmonary diseases and contained instrumental and/or objective voice and swallowing measures. Two raters completed the abstract screening process followed by independent full-text reviews. Case studies, review studies, gray literature, or abstract-only studies were excluded.

RESULTS

Among 5,485 screened studies, 182 were fully reviewed, with only 11 studies meeting the inclusion criteria. Eight studies found an association between voice and swallowing objective measures, whereas the other three did not. Significant voice measures that were related to swallowing safety and/or physiology included maximum fundamental frequency (F0), F0 range, maximum phonation time, biomechanics of effortful pitch glides, and voice onset time.

CONCLUSIONS

Although there was heterogeneity in the measures used, specific objective voice measures showed promise in clinical practice as a screening tool for dysphagia. Further investigations are needed to validate the clinical utility of these measures across diverse patient populations.

Cepstral Analysis of Voice in Patients With Temporomandibular Disorders

OBJECTIVES

This study aimed to assess the voice quality of patients with temporomandibular disorders (TMDs) compared with healthy subjects using cepstral analysis and investigate the relationship between the TMD severity and the values of cepstral analysis.

METHODS

Subjects who met the inclusion criteria completed a general health questionnaire and the Fonseca Anamnestic Index. Patients who had TMDs with FAI were subjected to an examination based on the Diagnostic Criteria for Temporomandibular Disorders. The final sample included 65 subjects, 31 TMDs patients (with a mean age ± standard deviation of 36.64 ± 13.67 years), and 34 healthy individuals in the control group (with a mean age ± standard deviation of 30.35 ± 7.78 years). Cepstral Peak Prominence (CPP) and Smoothened Cepstral Peak Prominence (CPPS) of a sustained vowel and connected speech were computed using Praat software.

RESULTS

TMD patients indicated lower cepstral values and lower voice quality compared to the control group. Significant differences were found between TMD and control groups for all cepstral parameters (P < .001) and cepstral measurements showed a moderate to strong negative correlation with TMD severity (P < .001, rho = -0.57 to -0.88).

CONCLUSION

The outcomes of the present study indicate that cepstral analysis can accurately distinguish the reduced voice quality of TMD patients from normal voice.

Comparison of Two Multiparameter Acoustic Voice Outcome Indices in the Treatment of Hyperfunctional Voice Disorders: Dysphonia Severity Index and Acoustic Voice Quality Index

INTRODUCTION

The Dysphonia Severity Index (DSI) and Acoustic Voice Quality Index (AVQI) are the two widely used multiparameter acoustic instrumented indices that estimate dysphonia severity and track treatment outcomes. This study compared the performance of these two indices in identifying voice quality changes with eclectic voice therapy in individuals with hyperfunctional voice disorders (HFVD).

METHOD

Twenty individuals with HFVD including eight males and 13 females in the age range of 20-55 years received an eclectic voice therapy program named the Comprehensive Voice Habilitation Program. All the participants attended 15 sessions of voice therapy. DSI and AVQI measures were obtained at the baseline, immediate post therapy, 15 days post therapy (follow-up 1), and 60 days post therapy (follow-up 2). Repeated measures analysis of variance was performed to verify whether there were any differences between the time points for dependent variables DSI and AVQI. The effect sizes obtained for the DSI and AVQI measures were also noted.

RESULTS

A significant difference was obtained between the baseline and post therapy, follow-up 1 and follow-up 2 for AVQI measure with a very large effect size, ηp2 = 0.451. In contrast, DSI showed a significant difference only between the baseline and follow-up 1 with effect size, ηp2 = 0.187.

CONCLUSIONS

The results of this study confirmed that both DSI and AVQI were effective in tracking the changes in the severity of dysphonia. However, when compared, AVQI appeared to be more sensitive than DSI in potentially reflecting the effect of eclectic voice therapy in HFVD.

Perceptual, Aerodynamic and Acoustic Evaluation of Vocal Characteristics in Subjects With Obesity

INTRODUCTION

Obesity has tripled since 1975 and affects health across many domains. Increasing body mass index increases the risk to the obese subject of many non-communicable diseases. The study evaluated the perceptive, aerodynamic, and acoustic parameters that characterize the voice of the obese population.

METHODOLOGY

Eighty adult subjects (40 participants in each obese and control group) aged 18-50 years were enrolled. The perceptual voice analysis was performed using the Consensus Auditory Perceptual Evaluation of Voice. The aerodynamic and acoustic voice analyses were performed using the MIR Spiro lab instrument and Doctor's Speech software. A digital stopwatch was also used to measure maximum phonation time.

RESULTS

Statistical analysis revealed a significant difference (P-value <0.05 and t value >2) between two groups on acoustic parameters, specifically Normalized noise energy and fundamental frequency tremor (F0 tremor). Normalized noise energy and fundamental frequency tremor were greater in the obese group. Moreover, maximum phonation time and expiratory reserve volume were significantly reduced in the obese group.

DISCUSSION AND CONCLUSION

Results of the present study showed poor voice quality and reduced expiratory reserve volume in obese individuals. This could be credited to the adverse effects of accrued adipose on the functioning of the laryngeal and respiratory systems. Increasing body mass index escalates the risk to the obese subjects of many non-communicable diseases.

Vocal Effort and Acoustic Analysis of Gargle Phonation Versus Water Swallow in Patients With Muscle Tension Dysphonia: A Clinical Trial

PURPOSE

To determine the effects of gargle phonation (GP) on self-perceived vocal improvement, vocal effort, acoustic parameters, and speech rate in patients with muscle tension dysphonia (MTD). We hypothesized that GP would improve voice, reduce phonatory effort, and alter acoustic and speech measures.

STUDY DESIGN

Prospective randomized, single-blind cross-over clinical trial METHODS: Thirty-four participants (26 females, 8 males; average age 53 years) who were diagnosed with MTD completed the Voice Handicap Index-10 (VHI-10) and were assigned three study conditions: Baseline (B), GP, and Water Swallow (WS; sham), presented in one of two counterbalanced orders B-WS-GP (WS1st) or B-GP-WS (GP1st). Participants recorded stimuli from the Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V) and rated their perceived vocal effort and vocal improvement. F0, vocal intensity, cepstral peak prominence (CPP), and speaking rate were measured.

RESULTS

Average VHI-10 scores by group were 16 (min/max 2-29) for WS1st and 15 (min/max 3-40) for GP1st. About 73.5% reported more vocal improvement after GP, 17.65% after WS, and 8.8% noted no difference between conditions. Reduced effort was reported after GP, compared to B (P < 0.001) and WS (P = 0.005). Lower effort was also reported after the WS condition, compared to B (P = 0.011). Key acoustic findings included an increase in F0 after GP for sustained /i/ for females. CPP was significantly higher for females reading CAPE-V sentences after GP, when GP preceded WS, compared to B (P = 0.004) and WS (P = 0.003). Speech rate was faster for females after GP versus B (P = 0.029).

CONCLUSIONS

GP may be beneficial in the treatment of MTD. CPP may be a useful marker for vocal improvement after GP for women with mild MTD. Further studies would benefit from having more male participants and those with moderate and severe MTD.

Acoustic Effects of Vocal Warm-Up: A 7-Week Longitudinal Case Study

OBJECTIVE

A case study was used to determine which acoustic parameters would be sensitive to a SOVT-based vocal warm-up over the duration of a standard voice treatment.

METHODS

The longitudinal research design consisted of repeated voice measures during 7 weeks from a single subject, a 48-year-old male occupational voice user with a history of voice disorders. A steady phonation and running speech tasks were performed before and after an intensive 1-minute water-resistance voice exercise (WRT). Acoustic assessment of the pre-and postrecordings from each session was obtained with freely accessible software (e.g., Audacity, PRAAT) and acoustic measures (e.g., fundamental frequency, jitter, shimmer, alpha ratio, NHR, HNR, L1L0, Cepstral Peak Prominence smoothed).

RESULTS

After WRT, the analysis indicated that jitter, shimmer, and NHR had a small but statistically significant decrease, while alpha ratio, CPPS, and HNR had a statistically significant increase. For the days where there were six repetitions, there was a larger effect in the later repetitions in the day for some metrics (i.e., alpha ratio, shimmer, NHR, CPPS), while others had the biggest effect in the first two repetitions in a day (i.e., jitter, HNR).

CONCLUSIONS

A short vocal water-resistance voice task had a positive effect on the short-term acoustic voice metrics after each repetition of the exercise, independent of the number of repetitions throughout the day. When five repetitions of this exercise routine occurred, there was a more substantial influence on the proportion of acoustic voice changes.

Reflux Symptom Index (RSI), Videolaryngostroboscopy and Voice Analysis: A Triad of Non-Invasive Tools to Study Treatment Outcomes of Laryngopharyngeal Reflux Disease (LPRD)

Study post treatment improvement of Laryngopharyngeal Reflux Disease (LPRD) using non-invasive tools of Reflux symptom index (RSI), Reflux finding score (RFS) grading of videolaryngostroboscopy (VLS) and voice analysis. This study from December 2020 to April 2022 enrolled 100 adults with complaints suggestive of reflux symptoms and having Reflux Symptom Index (RSI) more than 13. All patients underwent VLS along with voice analysis. VLS findings were graded using Reflux Finding Score (RFS). Patients were advised for lifestyle modifications and proton pump inhibitors for 8 weeks when post treatment RSI, VLS and voice analyses were again documented. The age range was from 18 to 75 years. Males predominated. Lifestyle modification compliance was seen in 85% of the patients. We found a significant association (P = 0.001) for difference in pretreatment and posttreatment for both Reflux Symptom Index (RSI) parameters & Reflux Finding Score Index (RFS) parameters. Voice analysis pre and post treatment showed a significant association (P = 0.001) for fundamental frequency, jitter, shimmer, harmonic-to-noise ratio and maximum phonation time. The gold standard of diagnosis of LPRD is 24 h pH monitoring but has many false negatives and false positives due to intermittent reflux and inaccurate probe placement. This costly, time consuming and invasive procedure is not widely available amongst our speciality. Excellent visualisation of VLS allowed accurate RFS calculation. Voice analysis permitted early diagnosis of LPRD induced hoarseness before it became clinically significant. It also documented the treatment outcome. We conclude that an 8-weeks proton pump inhibitor treatment combined with lifestyle modification resulted in a significant improvement in the parameters of the non-invasive tools of RSI and RFS and voice analysis.

A Voice Disease Detection Method Based on MFCCs and Shallow CNN

The incidence rate of voice diseases is increasing year by year. The use of software for remote diagnosis is a technical development trend and has important practical value. Among voice diseases, common diseases that cause hoarseness include spasmodic dysphonia, vocal cord paralysis, vocal nodule, and vocal cord polyp. This paper presents a voice disease detection method that can be applied in a wide range of clinical. We cooperated with Xiangya Hospital of Central South University to collect voice samples from 352 different patients. The Mel Frequency Cepstrum Coefficient (MFCC) parameters are extracted as input features to describe the voice in the form of data. An innovative model combining MFCC parameters and single convolution layer CNN is proposed for fast calculation and classification. The highest accuracy we achieved was 92%, it is fully ahead of the original research results and internationally advanced. And we use advanced voice function assessment databases (AVFAD) to evaluate the generalization ability of the method we proposed, which achieved an accuracy rate of 98%. Experiments on clinical and standard datasets show that for the pathological detection of voice diseases, our method has greatly improved in accuracy and computational efficiency.

Effects of Vibratory Source on Auditory-Perceptual and Bio-Inspired Computational Measures of Pediatric Voice Quality

OBJECTIVE

The vibratory source for voicing in children with dysphonia is classified into three categories including a glottal vibratory source (GVS) observed in those with vocal lesions or hyperfunction; supraglottal vibratory sources (SGVS) observed secondary to laryngeal airway injuries, malformations, or reconstruction surgeries; and a combination of both glottal and supraglottal vibratory sources called mixed vibratory source (MVS). This study evaluated the effects of vibratory source on three primary dimensions of voice quality (breathiness, roughness, and strain) in children with GVS, SGVS, and MVS using single-variable matching tasks and computational measures obtained from bio-inspired auditory models.

METHODS

A total of 44 dysphonic voice samples from children aged 4-11 years were selected. Seven listeners rated breathiness, roughness, and strain of 1000-ms /ɑ/ samples using single-variable matching tasks. Computational estimates of pitch strength, amplitude modulation filterbank output, and sharpness were obtained through custom-designed MATLAB algorithms.

RESULTS

Perceived roughness and strain were significantly higher in children with SGVS and MVS compared to children with GVS. Among the computational measures, only the modulation filterbank output resulted in significant differences among vibratory sources; a posthoc test revealed that children with SGVS had greater amplitude modulation than children with GVS, as expected from their rougher voice quality.

CONCLUSIONS

The results indicate that the output of an auditory amplitude modulation filterbank model may capture characteristics of SGVS that are strongly related to the rough voice quality.

Differences and Reliability of Linear and Nonlinear Acoustic Measures as a Function of Vocal Intensity in Individuals With Voice Disorders

PURPOSE

Linear acoustic indices are significantly influenced by speaking voice intensity. The main aim of this work was to compare acoustic measures based on linear and nonlinear models in different speaking voice intensity levels and to analyze the reliability of those measures in different intensity levels in subjects with voice disorders.

METHODS

435 samples from subjects (314 women, 121 men with a mean age of 41.07 ± 13.73) diagnosed with various voice disorders were used. In total, 17 acoustic measures were derived from the vowel /ɛ/ sustained at three intensity levels (soft, comfortable, and loud). Five were linear (standard deviation of the fundamental frequency (f0), jitter, shimmer, harmonics-to-noise ratio (HNR) and smoothed cepstral peak prominence (CPPS)), and twelve were nonlinear measures, namely correlation dimension (D2), correlation entropy (H2), first minimum of the mutual information function (FMMI), relative entropy (ENTR-R), largest Lyapunov exponent (Lyap), determinism (DET), transitivity, mean diagonal line length (Lmed), Shannon entropy (ENTR-S), mean length of vertical structures, also known as trapping time (TT), laminarity (LAM) and recurrence period density entropy (RPDE). Differences between speaking voice intensity levels were assessed by Friedman's test and Nemenyi as posthoc test. Intraclass correlation coefficient was used to investigate if each acoustic measure remains in agreement (reliability) between different voice intensity levels.

RESULTS

There were significant differences in all acoustic measures about vocal intensity level (P < 0.001). Intraclass correlation coefficient was very good for HNR (>0.61) and good for Lyap, DET, ENTR-S, Lmed, RPDE, and TT (0.41-0.60).

CONCLUSIONS

All acoustic measures varied as a function of vocal intensity in voice disordered adults, while this relation was different for linear and nonlinear measures. Only the measures HNR, Lyap, DET, ENTR-S, Lmed, RPDE and TT had an acceptable reliability between different voice intensity levels. Therefore, patient`s voice SPL should be controlled or indicated during acoustic vocal assessment.

The Voice Range Profile-A Shortened Protocol Pilot Study

INTRODUCTION

Voice production is a complex process involving the coordination of various anatomical structures and physiologic systems. The Voice Range Profile (VRP) is an established acoustic measure for evaluating voice production that examines minimum and maximum intensity across the frequency range. This pilot study sought to establish a consistent, efficient, and accessible VRP elicitation method. One primary research question was addressed: Does the proposed Short method provide at least as much information as a full, discrete-steps method, which is generally accepted in the literature?

METHODS

In this quasi-repeated measures design, twenty-four singers completed a full VRP based on accepted methods from the literature, and the same participants returned within one to three weeks to complete the proposed Short VRP protocol. The full VRP consisted of steady state productions at every semitone within a participant's range for both minimum and maximum intensities. The Short VRP consisted of steady state productions at every octave and perfect fifth across the semitone range for both minimum and maximum intensities. Additional sampling was completed between points when a 7 dB or greater difference was found between consecutive points. Analysis compared each protocol's average elicitation time differences, average semitone range differences, visual examination of the average VRP graph, and examination of average intensity differences between protocols at specific semitone points. Male and female results were analyzed separately.

RESULTS

The proposed Short protocol produced similar or better intensity ranges when compared with the accepted full elicitation method. The Short protocol produced intensities with 95% or greater similarity to the Full Protocol for male maximum intensity curve, female minimum intensity curve, and female maximum intensity curve.

CONCLUSIONS

When compared with a Full VRP, a Short VRP protocol appears to generate similar minimum and maximum intensity curves allowing for a time-efficient substitute.

A Prospective Observational Study to Determine the Added Clinical Value of Videokymography to Videostroboscopy in Patients with Change in Voice

Videolaryngostroboscopy (VLS) is considered gold standard method for assessing voice disorders. But patients with irregular waveform of vocal folds cannot benefit from the VLS. Videokymography [VKG] is a single line real time, high speed imaging technique. It detects voice disorders based on vocal fold vibration characteristics whether the vibrations are regular or irregular. There is no standard clinical protocol or evidence on the clinical relevance of VKG for functional assessment of voice disorders. Since mechanism of voice production depends on vibration characteristics, VKG imaging leads to new possibilities for diagnosis, objective documentation and monitoring of vocal fold behavior in clinical practice in case of voice disorders. This study aims to evaluate clinical value of VKG in addition to VLS as a complementary tool for the assessment of voice disorder.

The Relationship Between Voice Handicap Index and Voice-Related Quality of Life in Patients with Early Laryngeal Cancer

Introduction

Voice production can be affected in early laryngeal cancer. The purpose of this study was to investigate the correlation between Voice Handicap Index (VHI) and Voice-Related Quality of Life (V-RQOL) among patients with early laryngeal cancer.

Methods

Twenty-seven patients with early laryngeal cancer (T1, T2) and a mean age of 59.35 ± 7.77 years who were visited in Amir-Alam hospital, took part in this study. After a diagnosis of early laryngeal cancer by a laryngologist, the patients filled out the Persian versions of the VHI and V-RQOL questionnaires.

Results

The results showed the mean total score of VHI and V-RQOL were 65.94 ± 14.21 and 48.64 ± 9.75% in patients with early laryngeal cancer, respectively. These results indicated the total and subscales' scores of VHI increased while the scores of VRQOL decreased. The Pearson correlation between total scores of the VHI and V-RQOL was - 90. Also, there was a negative significant correlation between total and subscales' scores of VH and VRQOL (r Pearson= -0.46 to -0.90, p ≤ 0.05).

Conclusion

Our findings demonstrated decreased quality of life related to voice in patients with laryngeal cancer who were in the early stages of tumor growth (T1, T2). Regarding the high negative significant correlation between results of VHI and V-RQOL in patients with early laryngeal cancer, both questionnaires can be used instead of each other for saving time in voice clinics.

Comparison of Vocal Fatigue in Speech Therapists With Other Rehabilitation Therapists

INTRODUCTION

Voice, as one of the most important communication tools in humans, can cause many problems in a person's daily life if it is damaged. One type of voice complaint is vocal fatigue, which is common among people who use their voices a lot. Rehabilitation therapists may be more vulnerable to a variety of vocal disorders and complaints due to extensive voice use and long-term relationships with clients. The aim of this study is to investigate and compare vocal fatigue among therapists in Ahvaz rehabilitation fields.

METHOD

This cross-sectional, descriptive-analytical study was performed on 100 therapists in Ahvaz rehabilitation fields. For this purpose, the Persian version of the vocal fatigue index questionnaire has been used. One Way Anova parametric tests were used to compare target variables. The relationship between vocal fatigue and work experience and working hours per day was calculated using Spearman correlation coefficient.

RESULTS

A comparison of the scores of the vocal fatigue index in the rehabilitation therapists showed that there was a significant difference between the therapists scores in the field of speech therapy and the therapists scores in other fields (P < 0.05).

CONCLUSION

Due to the nature of rehabilitation fields and the use of voice during daily interactions with different clients, especially clients with special disabilities, the possibility of voice disorders and complaints in this population should be considered. Therefore, providing the necessary training for voice care and voice health of this population should be noted in order to prevent voice disorders and complaints.

Deep learning in automatic detection of dysphonia: Comparing acoustic features and developing a generalizable framework

BACKGROUND

Auditory-perceptual assessment of voice is a subjective procedure. Artificial intelligence with deep learning (DL) may improve the consistency and accessibility of this task. It is unclear how a DL model performs on different acoustic features.

AIMS

To develop a generalizable DL framework for identifying dysphonia using a multidimensional acoustic feature.

METHODS & PROCEDURES

Recordings of sustained phonations of /a/ and /i/ were retrospectively collected from a clinical database. Subjects contained 238 dysphonic and 223 vocally healthy speakers of Chinese Mandarin. All audio clips were split into multiple 1.5-s segments and normalized to the same loudness level. Mel frequency cepstral coefficients and mel-spectrogram were extracted from these standardized segments. Each set of features was used in a convolutional neural network (CNN) to perform a binary classification task. The best feature was obtained through a five-fold cross-validation on a random selection of 80% data. The resultant DL framework was tested on the remaining 20% data and a public German voice database. The performance of the DL framework was compared with those of two baseline machine-learning models.

OUTCOMES & RESULTS

The mel-spectrogram yielded the best model performance, with a mean area under the receiver operating characteristic curve of 0.972 and an accuracy of 92% in classifying audio segments. The resultant DL framework significantly outperformed both baseline models in detecting dysphonic subjects on both test sets. The best outcomes were achieved when classifications were made based on all segments of both vowels, with 95% accuracy, 92% recall, 98% precision and 98% specificity on the Chinese test set, and 92%, 95%, 90% and 89%, respectively, on the German set.

CONCLUSIONS & IMPLICATIONS

This study demonstrates the feasibility of DL for automatic detection of dysphonia. The mel-spectrogram is a preferred acoustic feature for the task. This framework may be used for vocal health screening and facilitate automatic perceptual evaluation of voice in the era of big data.

WHAT THIS PAPER ADDS

What is already known on this subject Auditory-perceptual assessment is the current gold standard in clinical evaluation of voice quality, but its value may be limited by the rater's reliability and accessibility. DL is a new method of artificial intelligence that can overcome these disadvantages and promote automatic voice assessment. This study explored the feasibility of a DL approach for automatic detection of dysphonia, along with a quantitative comparison of two common sets of acoustic features. What this study adds to existing knowledge A CNN model is excellent at decoding multidimensional acoustic features, outperforming the baseline parameter-based models in identifying dysphonic voices. The first 13 mel-frequency cepstral coefficients (MFCCs) are sufficient for this task. The mel-spectrogram results in greater performance, indicating the acoustic features are presented in a more favourable way than the MFCCs to the CNN model. What are the potential or actual clinical implications of this work? DL is a feasible method for the detection of dysphonia. The current DL framework may be used for remote vocal health screening or documenting voice recovery after treatment. In future, DL models may potentially be used to perform auditory-perceptual tasks in an automatic, efficient, reliable and low-cost manner.

Chronic voice disorder after coronavirus disease 2019 infection and its treatment using the cricothyroid visor maneuver: a case report

BACKGROUND

Regarding human coronavirus, the severe acute respiratory syndrome coronavirus 2 pandemic, the novelty of disease, and consequently the lack of studies, the etiology of dysphonia in patients with coronavirus disease 2019 is still unknown and needs to be investigated. The purpose of the current study is to investigate the effect of a new manual therapy technique, cricothyroid visor maneuver, on muscle tension dysphonia symptoms for a patient who had experienced dysphonia symptoms due to the coronavirus disease 2019 infection.

CASE PRESENTATION

A 55-year-old retired Iranian teacher who was diagnosed with muscle tension dysphonia by an otolaryngologist participated in this study. Fifty days before being referred to an otolaryngologist, he was diagnosed with coronavirus disease 2019 on the basis of the results of a standard laboratory test, namely real-time polymerase chain reaction. Treatment was provided in ten sessions. Pre- and post-treatment audio recordings of sustained vowels, selected sentences, and connected speech samples were submitted for auditory perceptual and acoustic analysis to assess the effects of the treatment program. Also, videolaryngostroboscopy voice quality perceptions by the patient, both before and after therapy, were assessed. The reduction in all features of the Consensus Auditory-Perceptual Evaluation of Voice was observed. The results of acoustic assessment showed that jitter (35.13%) and shimmer (20.48%) decreased; moreover, the harmonics-to-noise ratio (1.17%), cepstral peak prominence smoothed (28.53%) and maximum phonation time (15.5%) increased after treatment sessions. The scores of four parameters of Stroboscopy Examination Rating Form (SERF) form changed after cricothyroid visor maneuver therapy. Also, the visual analog scales score at the pre-treatment assessment was 40, and increased to 90 at the post-treatment assessment.

CONCLUSIONS

The effectiveness of cricothyroid visor maneuver therapy on dysphonia associated with coronavirus disease 2019 was investigated in the current study. This case study has highlighted chronic dysphonia after coronavirus disease 2019 infection, and suggests that the cricothyroid visor maneuver therapy approach may have positive outcomes for patients with muscle tension dysphonia with this background.

Spatial Segmentation for Laryngeal High-Speed Videoendoscopy in Connected Speech

OBJECTIVE

This study proposes a new computational framework for automated spatial segmentation of the vocal fold edges in high-speed videoendoscopy (HSV) data during connected speech. This spatio-temporal analytic representation of the vocal folds enables the HSV-based measurement of the glottal area waveform and other vibratory characteristics in the context of running speech.

METHODS

HSV data were obtained from a vocally normal adult during production of the "Rainbow Passage." An algorithm based on an active contour modeling approach was developed for the analysis of HSV data. The algorithm was applied on a series of HSV kymograms at different intersections of the vocal folds to detect the edges of the vibrating vocal folds across the frames. This edge detection method follows a set of deformation rules for the active contours to capture the edges of the vocal folds through an energy optimization procedure. The detected edges in the kymograms were then registered back to the HSV frames. Subsequently, the glottal area waveform was calculated based on the area of the glottis enclosed by the vocal fold edges in each frame.

RESULTS

The developed algorithm successfully captured the edges of the vocal folds in the HSV kymograms. This method led to an automated measurement of the glottal area waveform from the HSV frames during vocalizations in connected speech.

CONCLUSION

The proposed algorithm serves as an automated method for spatial segmentation of the vocal folds in HSV data in connected speech. This study is one of the initial steps toward developing HSV-based measures to study vocal fold vibratory characteristics and voice production mechanisms in norm and disorder in the context of connected speech.

The Effects of Collegiate Sports Coaching on the Male Voice: Pilot Data

PURPOSE

This research gathered pilot data on the effects of a typical collegiate athletic season on the male coach's voice.

MATERIALS AND METHODS

Ten male coaches and ten age- and sex-matched controls participated. Qualitative and quantitative analyses were performed to assess group differences in: 1) written self-reports obtained during one session, 2) acoustic and aerodynamic variables obtained during regular season and during off-season for the coaches and only once for the controls, and 3) auditory-perceptual data provided by three speech-language pathologists using the Consensus Auditory-Perceptual Evaluation of Voice during one listening session. Data pertaining to the coaches' regular season, to the coaches' off-season, and to the control participants were designated as in-season, off-season, and control, respectively.

RESULTS

Significant self-reported findings included more phonotraumatic behaviors in the coaches than in the controls and higher in-season than off-season and control vocal demand. The coaches' history of voice problems was unrelated and the controls' was related to respiratory illness and addressing a large audience. A significant acoustic finding was lower off-season than control low fundamental frequency. Finally, trained listeners perceived control loudness as more aberrant than off-season loudness and they noted vocal fry twice as many times in in-season and off-season than in control voices.

CONCLUSIONS

This study exposed traces of adverse voice reactions to coaching and confirmed that coaches harbor a job-based proclivity to voice overuse. Self-reported measures appeared to be the least and aerodynamic the most immune to phonatory exertion that pervades daily coaching tasks. Future studies are warranted to further delineate how athletic coaching interferes with voice production.

Dysphonia Severity Index and Consensus Auditory-Perceptual Evaluation of Voice Outcomes, and Their Relation in Hospitalized Patients with COVID-19

OBJECTIVES

This study aimed to compare the results of the Dysphonia Severity Index (DSI) and Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V) between patients hospitalized with COVID-19 and healthy subjects, as well as to investigate the correlation between DSI and CAPE-V.

STUDY DESIGN

Cross-sectional survey.

MATERIAL AND METHODS

Eighty subjects, 40 COVID-19 patients (with a mean age of 41.2± 5.41) and 40 healthy subjects (with a mean age of 44.50± 3.50) participated in this study. Assessments included the DSI for aerodynamic-acoustic measurement and the Persian version of Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V) for evaluating auditory-perceptual voice quality. Data were analyzed by means of the independent t-test and Pearson correlation at the 5% significance level.

RESULTS

The results showed COVID-19 patients got significantly lower score in DSI compared to healthy subjects (P < 0.05). Moreover, the patients with COVID-19 had higher scores in all categories of voice production (severity, roughness, loudness, pitch, strain and breathiness) than the healthy group (P < 0.05). Comparing the result of the two voice assessments in each group revealed that there was a greater negative significant correlation in the diseased group (r p: -0.68, P: 0.001) than in the healthy group (r p: -0.37,P: 0.049).

CONCLUSIONS

Hospitalized COVID-19 patients experience deviations in the voice quality and acoustic-aerodynamic features of their voice. Also, the results of this study showed the patient group had higher perceptual dysphonia and lower voice quality compared to the healthy group. Further studies are recommended to determine the relationship between objective and subjective voice evaluation in patients with COVID-19 after recovery.

Predicting Perceived Vocal Roughness Using a Bio-Inspired Computational Model of Auditory Temporal Envelope Processing

PURPOSE

Vocal roughness is often present in many voice disorders but the assessment of roughness mainly depends on the subjective auditory-perceptual evaluation and lacks acoustic correlates. This study aimed to apply the concept of roughness in general sound quality perception to vocal roughness assessment and to characterize the relationship between vocal roughness and temporal envelop fluctuation measures obtained from an auditory model.

METHOD

Ten /ɑ/ recordings with a wide range of roughness were selected from an existing database. Ten listeners rated the roughness of the recordings in a single-variable matching task. Temporal envelope fluctuations of the recordings were analyzed with an auditory processing model of amplitude modulation that utilizes a modulation filterbank of different modulation frequencies. Pitch strength and the smoothed cepstral peak prominence were also obtained for comparison.

RESULTS

Individual simple regression models yielded envelope standard deviation from a modulation filter with a low center frequency (64.3 Hz) as a statistically significant predictor of vocal roughness with a strong coefficient of determination (r ² = .80). Pitch strength and CPPS were not significant predictors of roughness.

CONCLUSION

This result supports the possible utility of envelope fluctuation measures from an auditory model as objective correlates of vocal roughness.

A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High-Speed Videoendoscopy

PURPOSE

Voice disorders are best assessed by examining vocal fold dynamics in connected speech. This can be achieved using flexible laryngeal high-speed videoendoscopy (HSV), which enables us to study vocal fold mechanics with high temporal details. Analysis of vocal fold vibration using HSV requires accurate segmentation of the vocal fold edges. This article presents an automated deep-learning scheme to segment the glottal area in HSV from which the glottal edges are derived during connected speech.

METHOD

Using a custom-built HSV system, data were obtained from a vocally healthy participant reciting the "Rainbow Passage." A deep neural network was designed for glottal area segmentation in the HSV data. A recently introduced hybrid approach by the authors was utilized as an automated labeling tool to train the network on a set of HSV frames, where the glottis region was automatically annotated during vocal fold vibrations. The network was then tested against manually segmented frames using different metrics, intersection over union (IoU), and Boundary F1 (BF) score, and its performance was assessed on various phonatory events on the HSV sequence.

RESULTS

The designed network was successfully trained using the hybrid approach, without the need for manual labeling, and tested on the manually labeled data. The performance metrics showed a mean IoU of 0.82 and a mean BF score of 0.96. In addition, the evaluation assessment of the network's performance demonstrated an accurate segmentation of the glottal edges/area even during complex nonstationary phonatory events and when vocal folds were not vibrating, thus overcoming the limitations of the previous hybrid approach that could only be applied to the vibrating vocal folds.

CONCLUSIONS

The introduced automated scheme guarantees accurate glottis representation in challenging color HSV data with lower image quality and excessive laryngeal maneuvers during all instances of connected speech. This facilitates the future development of HSV-based measures to assess the running vibratory characteristics of the vocal folds in speakers with and without voice disorder.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.19798864.

An Analytical Study of Speech Pathology Detection Based on MFCC and Deep Neural Networks

Diseases of internal organs other than the vocal folds can also affect a person's voice. As a result, voice problems are on the rise, even though they are frequently overlooked. According to a recent study, voice pathology detection systems can successfully help the assessment of voice abnormalities and enable the early diagnosis of voice pathology. For instance, in the early identification and diagnosis of voice problems, the automatic system for distinguishing healthy and diseased voices has gotten much attention. As a result, artificial intelligence-assisted voice analysis brings up new possibilities in healthcare. The work was aimed at assessing the utility of several automatic speech signal analysis methods for diagnosing voice disorders and suggesting a strategy for classifying healthy and diseased voices. The proposed framework integrates the efficacy of three voice characteristics: chroma, mel spectrogram, and mel frequency cepstral coefficient (MFCC). We also designed a deep neural network (DNN) capable of learning from the retrieved data and producing a highly accurate voice-based disease prediction model. The study describes a series of studies using the Saarbruecken Voice Database (SVD) to detect abnormal voices. The model was developed and tested using the vowels /a/, /i/, and /u/ pronounced in high, low, and average pitches. We also maintained the "continuous sentence" audio files collected from SVD to select how well the developed model generalizes to completely new data. The highest accuracy achieved was 77.49%, superior to prior attempts in the same domain. Additionally, the model attains an accuracy of 88.01% by integrating speaker gender information. The designed model trained on selected diseases can also obtain a maximum accuracy of 96.77% (cordectomy × healthy). As a result, the suggested framework is the best fit for the healthcare industry.

Neurogenerative Disease Diagnosis in Cepstral Domain Using MFCC with Deep Learning

Because underlying cognitive and neuromuscular activities regulate speech signals, biomarkers in the human voice can provide insight into neurological illnesses. Multiple motor and nonmotor aspects of neurologic voice disorders arise from an underlying neurologic condition such as Parkinson's disease, multiple sclerosis, myasthenia gravis, or ALS. Voice problems can be caused by disorders that affect the corticospinal system, cerebellum, basal ganglia, and upper or lower motoneurons. According to a new study, voice pathology detection technologies can successfully aid in the assessment of voice irregularities and enable the early diagnosis of voice pathology. In this paper, we offer two deep-learning-based computational models, 1-dimensional convolutional neural network (1D CNN) and 2-dimensional convolutional neural network (2D CNN), that simultaneously detect voice pathologies caused by neurological illnesses or other causes. From the German corpus Saarbruecken Voice Database (SVD), we used voice recordings of sustained vowel /a/ generated at normal pitch. The collected voice signals are padded and segmented to maintain homogeneity and increase the number of samples. Convolutional layers are applied to raw data, and MFCC features are extracted in this project. Although the 1D CNN had the maximum accuracy of 93.11% on test data, model training produced overfitting and 2D CNN, which generalized the data better and had lower train and validation loss despite having an accuracy of 84.17% on test data. Also, 2D CNN outperforms state-of-the-art studies in the field, implying that a model trained on handcrafted features is better for speech processing than a model that extracts features directly.

Kalman Filter Implementation of Subglottal Impedance-Based Inverse Filtering to Estimate Glottal Airflow during Phonation

Subglottal Impedance-Based Inverse Filtering (IBIF) allows for the continuous, non-invasive estimation of glottal airflow from a surface accelerometer placed over the anterior neck skin below the larynx. It has been shown to be advantageous for the ambulatory monitoring of vocal function, specifically in the use of high-order statistics to understand long-term vocal behavior. However, during long-term ambulatory recordings over several days, conditions may drift from the laboratory environment where the IBIF parameters were initially estimated due to sensor positioning, skin attachment, or temperature, among other factors. Observation uncertainties and model mismatch may result in significant deviations in the glottal airflow estimates; unfortunately, they are very difficult to quantify in ambulatory conditions due to a lack of a reference signal. To address this issue, we propose a Kalman filter implementation of the IBIF filter, which allows for both estimating the model uncertainty and adapting the airflow estimates to correct for signal deviations. One-way analysis of variance (ANOVA) results from laboratory experiments using the Rainbow Passage indicate an improvement using the modified Kalman filter on amplitude-based measures for phonotraumatic vocal hyperfunction (PVH) subjects compared to the standard IBIF; the latter showing a statistically difference (p-value = 0.02, F = 4.1) with respect to a reference glottal volume velocity signal estimated from a single notch filter used here as ground-truth in this work. In contrast, maximum flow declination rates from subjects with vocal phonotrauma exhibit a small but statistically difference between the ground-truth signal and the modified Kalman filter when using one-way ANOVA (p-value = 0.04, F = 3.3). Other measures did not have significant differences with either the modified Kalman filter or IBIF compared to ground-truth, with the exception of H1–H2, whose performance deteriorates for both methods. Overall, both methods (modified Kalman filter and IBIF) show similar glottal airflow measures, with the advantage of the modified Kalman filter to improve amplitude estimation. Moreover, Kalman filter deviations from the IBIF output airflow might suggest a better representation of some fine details in the ground-truth glottal airflow signal. Other applications may take more advantage from the adaptation offered by the modified Kalman filter implementation.

Acoustic Variability in the Healthy Female Voice Within and Across Days: How Much and Why?

Purpose The aims of this study were (1) to quantify variability in voice production (as measured acoustically) within and across consecutive days in vocally healthy female speakers, (2) to identify which acoustic measures are sensitive to this variability, and (3) to identify participant characteristics related to such voice variability. Method Participants included 45 young women with normal voices who were stratified by age, specifically 18-23, 24-29, and 30-35 years. Following an initial acoustic and auditory-perceptual voice assessment, participants performed standardized field voice recordings 3 times daily across a 7-day period. Acoustic analyses involved 32 cepstral-, spectral-, and time-based measures of connected speech and sustained vowels. Relationships among acoustic data and select demographic, health, and lifestyle (i.e., participant-based) factors were also examined. Results Significant time-of-day effects were observed for acoustic analyses within speakers (p < .05), with voices generally being worse in the morning. No significant differences were observed across consecutive days. Variations in voice production were associated with several participant factors, including improved voice with increased voice use; self-perceived poor voice function, minimal or no alcohol consumption, and extroverted personality; and worse voice with regular or current menstruation, depression, and anxiety. Conclusions This acoustic study provides essential information regarding the nature and extent to which healthy voices vary throughout the day and week. Participant-based factors that were associated with improved voice over time included increased voice use, self-perceived poor voice function, minimal or no alcohol consumption, and extroverted personality. Factors associated with worse voice production over time included regular or current menstruation, and depression and anxiety.

Accuracy of Acoustic Measures of Voice via Telepractice Videoconferencing Platforms

Purpose Telepractice improves patient access to clinical care for voice disorders. Acoustic assessment has the potential to provide critical, objective information during telepractice, yet its validity via telepractice is currently unknown. The current study investigated the accuracy of acoustic measures of voice in a variety of telepractice platforms. Method Twenty-nine voice samples from individuals with dysphonia were transmitted over six video conferencing platforms (Zoom with and without enhancements, Cisco WebEx, Microsoft Teams, Doxy.me, and VSee Messenger). Standard time-, spectral-, and cepstral-based acoustic measures were calculated. The effect of transmission condition on each acoustic measure was assessed using repeated-measures analyses of variance. For those acoustic measures for which transmission condition was a significant factor, linear regression analysis was performed on the difference between the original recording and each telepractice platform, with the overall severity of dysphonia, Internet speed, and ambient noise from the transmitter as predictors. Results Transmission condition was a statistically significant factor for all acoustic measures except for mean fundamental frequency (f o). Ambient noise from the transmitter was a significant predictor of differences between platforms and the original recordings for all acoustic measures except f o measures. All telepractice platforms affected acoustic measures in a statistically significantly manner, although the effects of platforms varied by measure. Conclusions Overall, measures of f o were the least impacted by telepractice transmission. Microsoft Teams had the least and Zoom (with enhancements) had the most pronounced effects on acoustic measures. These results provide valuable insight into the relative validity of acoustic measures of voice when collected via telepractice. Supplemental Material https://doi.org/10.23641/asha.14794812.

The effect of velopharyngeal insufficiency on voice quality in Estonian Children with Cleft Palate

Most children born with cleft palate (CP) or cleft lip and palate (CL/P) have velopharyngeal insufficiency (VPI), some degree of hypernasal resonance, articulation disorders and laryngeal dysphonia. Combination of different CL/P specific problems may mask laryngeal dysphonia and therefore, it may remain undiagnosed and untreated by clinicians. The research aimed to study the effect of VPI on voice quality in Estonian CL/P children. We included 18 CL/P and 79 healthy children. Combination of objective (Multi-Dimensional Voice Program (MDVP)) and subjective (Pediatric Voice Handicap Index (pVHI), GRBAS scale, video-nasoendoscopy (VNE), video-laryngostroboscopy (VLS)) assessment methods were assisted and performed by our multidisciplinary cleft teams. We found that (1) overall quality of life is greatly affected by voice, resonance and articulation disorders in CL/P group, (2) more than half of the CL/P children had morphological changes of the vocal folds, (3) the severity of VPI did not result in worse outcomes of acoustic parameters of voice.

A Field-Based Approach to Establish Normative Acoustic Data for Healthy Female Voices

Purpose The primary aim of this study was to obtain high-quality acoustic normative data in natural field environments for female voices. A secondary aim was to examine acoustic measurement variability in field environments. Method This study employed a within-subject repeated-measures experimental design that included 45 young female adults with normal voices. Participants were stratified by age (18-23, 24-29, and 30-35 years). After initial evaluation and instruction, participants completed voice recordings during seven consecutive days using a standard protocol, including both connected speech and sustained vowels. Thirty-two cepstral-, spectral-, and time-based acoustic measures were acquired using Praat and the Analysis of Dysphonia in Speech and Voice. Results Among the 958 total recordings, greater than 90% satisfied inclusion criteria based on protocol compliance, peak clipping, and signal-to-noise ratio. Significant differences were observed for age (p < .05). For 19 acoustic measures, values improved significantly as signal-to-noise ratio increased. Cepstral- and spectral-based measures demonstrated less measurement variability as compared with time-based measures. Conclusions With adequate training, field audio recordings represent a viable option for clinical voice management. The significant age effects observed in this study support the need for more specific criteria when collecting and applying normative data. Cepstral- and spectral-based measures demonstrated the least measurement variability. This study provides additional evidence for multiparameter acoustic voice measurement, specifically toward ecologically valid sampling in natural environments. Future studies should expand on these findings in other populations with normal and disordered voices.

A Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speech

Investigating the phonatory processes in connected speech from high-speed videoendoscopy (HSV) demands the accurate detection of the vocal fold edges during vibration. The present paper proposes a new spatio-temporal technique to automatically segment vocal fold edges in HSV data during running speech. The HSV data were recorded from a vocally normal adult during a reading of the “Rainbow Passage.” The introduced technique was based on an unsupervised machine-learning (ML) approach combined with an active contour modeling (ACM) technique (also known as a hybrid approach). The hybrid method was implemented to capture the edges of vocal folds on different HSV kymograms, extracted at various cross-sections of vocal folds during vibration. The k-means clustering method, an ML approach, was first applied to cluster the kymograms to identify the clustered glottal area and consequently provided an initialized contour for the ACM. The ACM algorithm was then used to precisely detect the glottal edges of the vibrating vocal folds. The developed algorithm was able to accurately track the vocal fold edges across frames with low computational cost and high robustness against image noise. This algorithm offers a fully automated tool for analyzing the vibratory features of vocal folds in connected speech.

Respiratory Function and Voice: The Role for Airflow Measures

OBJECTIVE

To clarify the relationship between voice and respiratory function, and to understand the role for airflow measures in the evaluation of voice patients.

METHODS

Literature searches of MEDLINE (Ovid) and Web of Science were performed on April 6, 2020, to include articles written in English that both discussed voice in relation to lower respiratory function and reported evaluation of airflow. Search strategies included the keywords voice, respiratory, airflow, and aerodynamic measures. Data were extracted from articles that met inclusion criteria.

RESULTS

Twenty studies were included for review. Fourteen (70%) studies evaluated at least 1 spirometric respiratory measure, including Forced Vital Capacity, Forced Expiratory Volume in 1 second, and Forced Expiratory Flow. Other measures assessed included mean flow rate, mean peak airflow, phonatory airflow, inspiratory airflow, expiratory airflow, and phonation quotient. Notably, four studies which included pulmonary function tests (PFTs) as part of voice evaluation discovered previously undiagnosed respiratory disease in their study populations.

CONCLUSION

This review confirms that respiratory function contributes significantly to voice and reveals that few studies have explored the role for airflow measures in clarifying this relationship. Including airflow measures such as PFTs in standard voice evaluation may allow recognition of underlying respiratory disease contributing to voice dysfunction. Further research is recommended to establish indications and diagnostic criteria for the use of PFTs in voice patients.

Description of the Features and Vibratory Behaviors of the Nyquist Plot Analyzed From Laryngeal High-Speed Videoendoscopy Images

Facilitative playback-based subjective measures offer a more reliable evaluation of the vocal fold vibration than those derived from direct inspection of video playback. One of the measures is a Nyquist plot, which presents the analyzed cycle-to-cycle vibratory information in a graphical form. While the potential is evident, the information of the features of the Nyquist plot, which the evaluation is based on, is still incomplete. The current identified features and their vibratory behaviors may be inadequate to guarantee accurate interpretation of the findings. The present study aims to address this issue by examining the features of the Nyquist plot and their vibratory behaviors. A total of 56 young normophonic speakers, that is, 20 males and 36 females were recruited as the participants. Each of them underwent laryngeal high-speed videoendoscopy to record the images of the vocal fold vibration, which were then analyzed to generate the Nyquist plots. The features were identified by inspecting the properties of the plot points forming the Nyquist plots. For each identified feature, its vibratory behaviors were examined. The results revealed four features: rim contour depicting the longitudinal phase difference; left edge shape signifying the glottal configuration, phase closure, and closed phase duration; rim width and rim pattern visualizing the regularity of glottal areas and the regularity of the intracycle variations, respectively. The findings present a more complete reference of the features and their vibratory behaviors that is pertinent for the Nyquist plot interpretation.

Voice Pathology Detection and Classification Using Convolutional Neural Network Model

Voice pathology disorders can be effectively detected using computer-aided voice pathology classification tools. These tools can diagnose voice pathologies at an early stage and offering appropriate treatment. This study aims to develop a powerful feature extraction voice pathology detection tool based on Deep Learning. In this paper, a pre-trained Convolutional Neural Network (CNN) was applied to a dataset of voice pathology to maximize the classification accuracy. This study also proposes a distinguished training method combined with various training strategies in order to generalize the application of the proposed system on a wide range of problems related to voice disorders. The proposed system has tested using a voice database, namely the Saarbrücken voice database (SVD). The experimental results show the proposed CNN method for speech pathology detection achieves accuracy up to 95.41%. It also obtains 94.22% and 96.13% for F1-Score and Recall. The proposed system shows a high capability of the real-clinical application that offering a fast-automatic diagnosis and treatment solutions within 3 s to achieve the classification accuracy.

Assessment of dysphonia: cepstral analysis versus conventional acoustic analysis

OBJECTIVE

In this study, we aimed to determine the extent to which smoothed cepstral peak prominence (CPPS) can replace or complement the conventional acoustic measures of jitter, shimmer, and harmonic-to-noise ratio in the assessment of various types of dysphonia.

METHODOLOGY

A total of 60 males and 80 females were divided into two groups: dysphonic group and control group (30 males and 40 females in each group). The voice samples in the form of sustained vowel /a/ phonation and continuous speech were recorded and assessed using auditory perceptual analysis, acoustic analysis, and cepstral analysis.

RESULTS

Jitter was found to have the best predictive ability during sustained phonation, whereas CPPS was found to have the best predictive ability during continuous speech.

CONCLUSION

Cepstral analysis is as reliable as the conventional acoustic analysis in the diagnosis of dysphonia and to detect its severity. However, CPPS cannot replace conventional acoustic measures.

Investigating the effects of subthalamic Nucleus-Deep brain stimulation on the voice quality

Introduction: Deep brain stimulation (DBS) is a standard surgical treatment method which is generally applied to subthalamic nucleus in Parkinson's patients in cases where medical treatment is insufficient in treating the motor symptoms. It is known that Subthalamic Nucleus Deep Brain Stimulation (STN-DBS) treats many motor symptoms. However, the results of studies on speech and voice vary. The aim of the study is analysing the effect of STN-DBS on the characteristics of voice.Materials/methods: A total of 12 patients, (8 male-4 female) with an age average of 58.8 ± 9.6, who have been applied DBS surgery on STN included in the study. The voice recordings of the patients have been done prior to surgery and 6 months after the surgery. The evaluation of voice has been carried out through the instrumental method. The patients' voice recordings of the /a,e,i/ vowels have been done. The obtained recordings were evaluated by the Praat programme and the effects on jhitter, shimmer, fundamental frequency (F0) and noise harmonic rate (NHR) were analysed.Results: Numerical values of F0 of all female participants have been decreased for all of the vowels postoperatively. In the females; jhitter and fraction parameters were found to be significantly different (0.056 and 0.017, perspectively) for the vowel /e/. In addition, p values in the shimmer for vowels /e,i/ were thought to be clinically significant (.087, .079 and .076) respectively. All these changes in second measurements were found to indicate worsening vocal quality after the DBS in females. In males, there is not any significant difference observed between two measures in any of the parameters of any vowels.Conclusions: Acoustic voice quality deteriorated after STN-DBS predominantly for females however this deterioration was not prominent audio-perceptually. This finding commented as a result of the fact that that voice quality deviance of the participants was not severe.

Comparison of Pitch Strength With Perceptual and Other Acoustic Metric Outcome Measures Following Medialization Laryngoplasty

INTRODUCTION

The diagnoses of voice disorders, as well as treatment outcomes, are often tracked using visual (eg, stroboscopic images), auditory (eg, perceptual ratings), objective (eg, from acoustic or aerodynamic signals), and patient report (eg, Voice Handicap Index and Voice-Related Quality of Life) measures. However, many of these measures are known to have low to moderate sensitivity and specificity for detecting changes in vocal characteristics, including vocal quality.

OBJECTIVE

The objective of this study was to compare changes in estimated pitch strength (PS) with other conventionally used acoustic measures based on the cepstral peak prominence (smoothed cepstral peak prominence, cepstral spectral index of dysphonia, and acoustic voice quality index), and clinical judgments of voice quality (GRBAS [grade, roughness, breathiness, asthenia, strain] scale) following laryngeal framework surgery.

METHODS

This study involved post hoc analysis of recordings from 22 patients pretreatment and post treatment (thyroplasty and behavioral therapy). Sustained vowels and connected speech were analyzed using objective measures (PS, smoothed cepstral peak prominence, cepstral spectral index of dysphonia, and acoustic voice quality index), and these results were compared with mean auditory-perceptual ratings by expert clinicians using the GRBAS scale.

RESULTS

All four acoustic measures changed significantly in the direction that usually indicates improved voice quality following treatment (P < 0.005). Grade and breathiness correlated the strongest with the acoustic measures (|r| ~ 0.7) with strain being the least correlated.

CONCLUSIONS

Acoustic analysis on running speech highly correlates with judged ratings. PS is a robust, easily obtained acoustic measure of voice quality that could be useful in the clinical environment to follow treatment of voice disorders.

Monitoring the Outcome of Phonosurgery and Vocal Exercises with Established and New Diagnostic Tools

Instrument-assisted measuring procedures expand the options within phoniatric diagnostics by quantifying the condition of the voice. The aim of this study was to examine objective treatment-associated changes of the recently developed vocal extent measure (VEM) and the established dysphonia severity index (DSI) in relation to subjective tools, i.e., self-evaluation via voice handicap index (VHI-12) and external evaluation via auditory-perceptual assessment of hoarseness (H). The findings for H (3 raters' group assessment), VHI-12, DSI, and VEM in 152 patients of both sexes (age range 16–75 years), taken before and 3 months after phonosurgery or vocal exercises, were compared and correlated. Posttherapeutically, all of the recorded parameters improved (p < 0.001). The degree of H reduced on average by 0.5, the VHI-12 score sank by 5 points, while DSI and VEM rose by 1.5 and 19, respectively. The correlations of these changes were significant but showed gradual differences between H and VHI-12 (r = 0.3), H and DSI (r = −0.3), and H and VEM (r = −0.4). We conclude that all investigated parameters are adequate to verify therapeutic outcomes but represent different dimensions of the voice. However, changes in the degree of H as gold standard were best recognized with the new VEM.

Surgical and Nonsurgical Lines of Treatment of Reinke's Edema: A Systematic Literature Review

OBJECTIVES

The aim of this study was to carry out a systematic review of different surgical and nonsurgical lines of treatment of Reinke's edema to identify the effectiveness and the guidelines described to use each of them.

METHODS

We searched PubMed and Coherence for randomized controlled trials and case reports studies did on adult humans aged from 18 to 80 years, from January 1997 to December 2018. We included studies that treated patients with Reinke's edema by one and/or combinations of the following interventions: cold steel microlaryngeal phonosurgery, microdebrider, CO₂ laser, photoangiolytic laser, voice therapy, Steroid and Hyaluronidase injection. We selected studies that assessed patients pre- and post-treatment by at least one of the following measures: subjective assessment of the patient's voice by the voice handicap index, perceptual analysis of the voice by GRBAS scale, video laryngeoscopic examination of the VFs and the lesion, aerodynamic measures, and acoustic analysis of the voice by the computerized speech lab. We assessed quality of the included studies with the Cochrane risk of bias assessment Tool.

RESULTS

After removal of duplicates, research yielded 262 studies. Of 217 abstracts and titles, 36 full-text articles were read, and one study was added through hand search, resulting in 10 included studies.

CONCLUSIONS

Most of literature analyzed were deficient to address the effectiveness of any of the six lines included in this study. This is mainly due to the small number of the included articles and the small sample size in most of these studies. We found only 10 articles that reported the effectiveness based on comparing the results of before and after treatment. In addition, the variability of outcome measures used and the lack of the comprehensive assessment of the patient's voice, vocal image in most of the included studies made it hard to us to compare the results of any of the included studies. More researches with larger sample size and accurate randomization are needed for further accurate assessment of the effectiveness of the surgical and nonsurgical lines of treatment of Reinke's edema. The future researches should take in their consideration the use of an agreed comprehensive assessment protocol for assessing and comparing the outcome measures before and after treatment.