Music Perception and Speech-in-Noise Skills of Typical Hearing and Cochlear Implant Listeners

Low-frequency pitch coding: relationships with speech-in-noise and music perception by pediatric populations with typical hearing and cochlear implants

PURPOSE

This study aimed to investigate the effects of low frequency (LF) pitch perception on speech-in-noise and music perception performance by children with cochlear implants (CIC) and typical hearing (THC). Moreover, the relationships between speech-in-noise and music perception as well as the effects of demographic and audiological factors on present research outcomes were studied.

METHODS

The sample consisted of 22 CIC and 20 THC (7-10 years). Harmonic intonation (HI) and disharmonic intonation (DI) tests were used to assess LF pitch perception. Speech perception in quiet (WRSq)/noise (WRSn + 10) were tested with the Italian bisyllabic words for pediatric populations. The Gordon test was used to evaluate music perception (rhythm, melody, harmony, and overall).

RESULTS

CIC/THC performance comparisons for LF pitch, speech-in-noise, and all music measures except harmony revealed statistically significant differences with large effect sizes. For the CI group, HI showed statistically significant correlations with melody discrimination. Melody/total Gordon scores were significantly correlated with WRSn + 10. For the overall group, HI/DI showed significant correlations with all music perception measures and WRSn + 10. Hearing thresholds showed significant effects on HI/DI scores. Hearing thresholds and WRSn + 10 scores were significantly correlated; both revealed significant effects on all music perception scores. CI age had significant effects on WRSn + 10, harmony, and total Gordon scores (p < 0.05).

CONCLUSION

Such findings confirmed the significant effects of LF pitch perception on complex listening performance. Significant speech-in-noise and music perception correlations were as promising as results from recent studies indicating significant positive effects of music training on speech-in-noise recognition in CIC.

Loudness Balancing Optimization for Better Speech Intelligibility, Music Perception, and Spectral Temporal Resolution in Cochlear Implant Users

HYPOTHESIS

The behaviorally based programming with loudness balancing (LB) would result in better speech understanding, spectral-temporal resolution, and music perception scores, and there would be a relationship between these scores.

BACKGROUND

Loudness imbalances at upper stimulation levels may cause sounds to be perceived as irregular, gravelly, or overly echoed and may negatively affect the listening performance of the cochlear implant (CI) user. LB should be performed after fitting to overcome these problems.

METHODS

The study included 26 unilateral Med-EL CI users. Two different CI programs based on the objective electrically evoked stapedial reflex threshold (P1) and the behaviorally program with LB (P2) were recorded for each participant. The Turkish Matrix Sentence Test (TMS) was applied to evaluate speech perception; the Random Gap Detection Test (RGDT) and Spectral-Temporally Modulated Ripple Test (SMRT) were applied to evaluate spectral temporal resolution skills; the Mini Profile of Music Perception Skills (mini-PROMS) and Melodic Contour Identification (MCI) tests were applied to evaluate music perception, and the results were compared.

RESULTS

Significantly better scores were obtained with P2 in TMS tests performed in noise and quiet. SMRT scores were significantly correlated with TMS in quiet and noise, and mini-PROMS sound perception results. Although better scores were obtained with P2 in the mini-PROMS total score and MCI, a significant difference was found only for MCI.

CONCLUSION

The data from the current study showed that equalization of loudness across CI electrodes leads to better perceptual acuity. It also revealed the relationship between speech perception, spectral-temporal resolution, and music perception.

Identity change of late-deafened adults after receiving cochlear implants

PURPOSE

The aim of this research was to understand how adults reconceptualise their identity when experiencing hearing loss as an adult, and how their identity might change with a cochlear implant.

MATERIALS AND METHODS

Using an online survey administered through cochlear implant social media groups, with follow-up semi-structured interviews, participants answered questions about their hearing loss and cochlear implant experiences. Forty-four people answered the survey and 16 participated in an in-depth interview. All were older than 18 years, once had heard, became deafened in adulthood and had at least one cochlear implant.

RESULTS

The decision to have a cochlear implant often meant acknowledging they were no longer a hearing person. After having an implant four themes emerged. (1) Some participants maintained a hearing identity through hearing loss and after cochlear implantation, while others returned to their hearing identity. (2) Others acknowledged a confused identity, neither deaf nor hearing. In unexpected findings, (3) during the progression of hearing loss, some participants had identified as hearing but could not hear, however after implantation, they became deaf people who could hear. (4) Furthermore, after implantation, some participants identified as disabled when they had not done so when less able to hear.

CONCLUSION

Given the prevalence of hearing loss in later life, it is important to understand the way these adults understand their identity through the progression of hearing loss and after becoming cochlear implant recipients. The belief people have of themselves impacts healthcare choices and affects their commitment to ongoing rehabilitation.

Effect of Realistic Test Conditions on Perception of Speech, Music, and Binaural Cues in Normal-Hearing Listeners

PURPOSE

The purpose of this study was to determine the feasibility of online testing in a quiet room for three auditory perception experiments in normal-hearing listeners: speech, music, and binaural cue.

METHOD

Under Experiment 1, sentence perception was measured using fixed signal-to-noise ratios (SNRs: +10 dB, 0 dB, and -10 dB) and using adaptive speech reception threshold (SRT) procedures. The correct scores were compared between quiet room and soundproof booth listening environments. Experiment 2 was designed to compare melodic contour identification between the two listening environments. Melodic contour identification was assessed with 1, 2, and 4 semitone spacings. Under Experiment 3, interaural level difference (ILD) and interaural time differences (ITD) were measured as a function of carrier frequency. For both measures, two modulated tones (400-ms duration and 100-Hz modulation rate) were sequentially presented through headphones to both ears, and subjects were asked to indicate whether the sound moved to the left or right ear. The measured ITD and ILD were then compared between the two listening environments.

RESULTS

There were no significant differences in any outcome measures (SNR- and SRT-based speech perception, melodic contour identification, and ITD/ILD) between the two listening environments.

CONCLUSIONS

These results suggest that normal-hearing listeners may not require a controlled listening environment in any of the three auditory assessments. As comparable data can be obtained via the online testing tool, using the online auditory experiments is recommended.

Perception of timbre in adult Cochlear implant users: Comparison of Iranian and Western musical instruments

OBJECTIVES

Cochlear implants (CI) have dramatically improved speech perception for patients with sensorineural hearing impairment. However, listening to music is a great challenge for them. This study examined the perception and appraisal of Iranian musical instruments comparing with similar Western instruments.

METHODS

Eleven adult CI users and 25 normal hearing (NH) individuals participated in this study. Musical stimuli of three commonly heard instrument pairs were prepared. Participants were asked to identify the instruments and rate their appraisal on a ten-point Likert scale (0 = dislike very much, 10 = like very much).

RESULTS

The instrument recognition rate was 40.6% among the CI users, and the mean appraisal score was 5.2 ± 2.7. NH listeners had none significant higher scores on both tasks with a recognition rate of 50.0% and the mean appraisal score of 6.9 ± 1.5. Iranian instruments were more recognized in both groups. Regarding their appraisal, the mean score for both types was almost equal in the NH group, while CI users more appraised Iranian instruments.

CONCLUSION

In addition to better recognition of Iranian instruments, they were particularly better appraised in the CI group. Iranian instruments provide suitable musical pieces for CI recipients that can be considered in rehabilitation programs.

Susceptibility to Postoperative Changes in Music Appreciation in Elderly Cochlear Implant Recipients

With the rise in life expectancy and the consequent increase in the elderly population, the use of cochlear implants (CI) in elderly patients with hearing loss is also increasing. The aim of this study was to investigate whether music appreciation in elderly CI users differs from that of non-elderly users. Forty-nine adult CI recipients participated in the study, and the Korean version of the Music Background Questionnaire was utilized preoperatively and postoperatively to evaluate music appreciation. The changes between the preoperative and postoperative values were compared after categorizing the participants into a non-elderly group (<65 years; n = 31) and an elderly group (≥65 years; n = 18). When compared to the non-elderly group, the elderly individuals exhibited a significant decrease in music listening times, without a significant change in the genre of music listened to following CI surgery. Moreover, the elderly group demonstrated significant decreases in music appreciation scores in terms of music quality and music elements, perceiving music as less natural, less clear, and more complex. They also exhibited significant changes in scores with respect to perception of rhythm, melody, timbre, and lyrics. This susceptibility to postoperative changes in music appreciation among elderly CI users should be considered in surgical counseling and music training programs.

Music Score Recognition Method Based on Deep Learning

In recent years, the recommendation application of artificial intelligence and deep music has gradually become a research hotspot. As a complex machine learning algorithm, deep learning can extract features with value laws through training samples. The rise of deep learning network will promote the development of artificial intelligence and also provide a new idea for music score recognition. In this paper, the improved deep learning algorithm is applied to the research of music score recognition. Based on the traditional neural network, the attention weight value improved convolutional neural network (CNN) and high execution efficiency deep belief network (DBN) are introduced to realize the feature extraction and intelligent recognition of music score. Taking the feature vector set extracted by CNN-DBN as input set, a feature learning algorithm based on CNN&DBN was established to extract music score. Experiments show that the proposed model in a variety of different types of polyphony music recognition showed more accurate recognition and good performance; the recognition rate of the improved algorithm applied to the soundtrack identification is as high as 98.4%, which is significantly better than those of other classic algorithms, proving that CNN&DBN can achieve better effect in music information retrieval. It provides data support for constructing knowledge graph in music field and indicates that deep learning has great research value in music retrieval field.

Celebrating the one millionth cochlear implant

Cochlear implants have been the most successful neural prosthesis, with one million users globally. Researchers used the source-filter model and speech vocoder to design the modern multi-channel implants, allowing implantees to achieve 70%-80% correct sentence recognition in quiet, on average. Researchers also used the cochlear implant to help understand basic mechanisms underlying loudness, pitch, and cortical plasticity. While front-end processing advances improved speech recognition in noise, the unilateral implant speech recognition in quiet has plateaued since the early 1990s. This lack of progress calls for action on re-designing the cochlear stimulating interface and collaboration with the general neurotechnology community.

The Acoustic Change Complex in Response to Frequency Changes and Its Correlation to Cochlear Implant Speech Outcomes

One of the biggest challenges that face cochlear implant (CI) users is the highly variable hearing outcomes of implantation across patients. Since speech perception requires the detection of various dynamic changes in acoustic features (e.g., frequency, intensity, timing) in speech sounds, it is critical to examine the ability to detect the within-stimulus acoustic changes in CI users. The primary objective of this study was to examine the auditory event-related potential (ERP) evoked by the within-stimulus frequency changes (F-changes), one type of the acoustic change complex (ACC), in adult CI users, and its correlation to speech outcomes. Twenty-one adult CI users (29 individual CI ears) were tested with psychoacoustic frequency change detection tasks, speech tests including the Consonant-Nucleus-Consonant (CNC) word recognition, Arizona Biomedical Sentence Recognition in quiet and noise (AzBio-Q and AzBio-N), and the Digit-in-Noise (DIN) tests, and electroencephalographic (EEG) recordings. The stimuli for the psychoacoustic tests and EEG recordings were pure tones at three different base frequencies (0.25, 1, and 4 kHz) that contained a F-change at the midpoint of the tone. Results showed that the frequency change detection threshold (FCDT), ACC N1' latency, and P2' latency did not differ across frequencies (p > 0.05). ACC N1'-P2 amplitude was significantly larger for 0.25 kHz than for other base frequencies (p < 0.05). The mean N1' latency across three base frequencies was negatively correlated with CNC word recognition (r = -0.40, p < 0.05) and CNC phoneme (r = -0.40, p < 0.05), and positively correlated with mean FCDT (r = 0.46, p < 0.05). The P2' latency was positively correlated with DIN (r = 0.47, p < 0.05) and mean FCDT (r = 0.47, p < 0.05). There was no statistically significant correlation between N1'-P2' amplitude and speech outcomes (all ps > 0.05). Results of this study indicated that variability in CI speech outcomes assessed with the CNC, AzBio-Q, and DIN tests can be partially explained (approximately 16-21%) by the variability of cortical sensory encoding of F-changes reflected by the ACC.

Music perception and speech intelligibility in noise performance by Italian-speaking cochlear implant users

Objective

The goal of this study was to investigate the performance correlations between music perception and speech intelligibility in noise by Italian-speaking cochlear implant (CI) users.

Materials and methods

Twenty postlingually deafened adults with unilateral CIs (mean age 65 years, range 46–92 years) were tested with a music quality questionnaire using three passages of music from Classical Music, Jazz, and Soul. Speech recognition in noise was assessed using two newly developed adaptive tests in Italian: The Sentence Test with Adaptive Randomized Roving levels (STARR) and Matrix tests.

Results

Median quality ratings for Classical, Jazz and Soul music were 63%, 58% and 58%, respectively. Median SRTs for the STARR and Matrix tests were 14.3 dB and 7.6 dB, respectively. STARR performance was significantly correlated with Classical music ratings (r_s = − 0.49, p = 0.029), whereas Matrix performance was significantly correlated with both Classical (r_s = − 0.48, p = 0.031) and Jazz music ratings (r_s = − 0.56, p = 0.011).

Conclusion

Speech with competitive noise and music are naturally present in everyday listening environments. Recent speech perception tests based on an adaptive paradigm and sentence materials in relation with music quality measures might be representative of everyday performance in CI users. The present data contribute to cross-language studies and suggest that improving music perception in CI users may yield everyday benefit in speech perception in noise and may hence enhance the quality of listening for CI users.