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Raiff L, Turashvili D, Heaton JT, De Luca G, Kline JC, Vojtech J. Prosodic Preferences of Surface Electromyography-based Subvocal Speech for People With Laryngectomy. J Voice 2024:S0892-1997(24)00373-4. [PMID: 39643558 DOI: 10.1016/j.jvoice.2024.10.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 09/03/2024] [Revised: 10/21/2024] [Accepted: 10/22/2024] [Indexed: 12/09/2024]
Abstract
INTRODUCTION People who undergo a total laryngectomy lose their natural voice and depend on alaryngeal technologies for communication. However, these technologies are often difficult to use and lack prosody. Surface electromyographic-based silent speech interfaces are novel communication systems that overcome many of the shortcomings of traditional alaryngeal speech and have the potential to seamlessly incorporate individualized prosody. The purpose of this study was to (1) validate the ability of alaryngeal silent speech to effectively incorporate pitch modulations-a key prosodic element in natural speech-into synthesized speech assessed through listening experiments and (2) determine the key features of these communication devices according to core users. METHODOLOGY People with laryngectomy (n = 15) and their primary communication partners (n = 5) listened to synthesized sentences with differing prosodic content generated from deep regression neural networks developed in our prior work. Specifically, the fundamental frequency (fo) contour of each sentence was manipulated in four ways: (1) flattened to the average fo, (2) altered to discrete sentence-level classification of muscle activity, (3) altered to continuous mapping of muscle activity, and (4) filtered to emulate speech from an electrolarynx (EL). Listeners ranked the fo contours of each sentence in terms of speech naturalness and the importance of various speech aid features. RESULTS Continuous contours rated higher than all other types of contours, and monotonic EL contours rated the lowest. Speech aid features were rated highest to lowest in the following order: sound quality, intelligibility, pitch, delay, volume, hands-free, maintenance, cost, wearability, training, and visibility. CONCLUSION These results will help inform future development of silent speech interfaces and shape priorities of communication devices toward the preferences of their users.
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Affiliation(s)
- Laura Raiff
- Delsys, Inc., Natick, Massachusetts 01760; Altec, Inc., Natick, Massachusetts 01760
| | - Dea Turashvili
- Delsys, Inc., Natick, Massachusetts 01760; Altec, Inc., Natick, Massachusetts 01760; Department of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215
| | - James T Heaton
- Massachusetts General Hospital Department of Surgery, Boston, Massachusetts, 02114
| | - Gianluca De Luca
- Delsys, Inc., Natick, Massachusetts 01760; Altec, Inc., Natick, Massachusetts 01760
| | - Joshua C Kline
- Delsys, Inc., Natick, Massachusetts 01760; Altec, Inc., Natick, Massachusetts 01760
| | - Jenny Vojtech
- Delsys, Inc., Natick, Massachusetts 01760; Altec, Inc., Natick, Massachusetts 01760; Department of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts 02215.
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Knoetze M, Manchaiah V, Oosthuizen I, Beukes E, Swanepoel DW. Perspectives on Hearing Aid Cost and Uptake for Prescription and Over-the-Counter Hearing Aid Users. Am J Audiol 2024; 33:942-952. [PMID: 39110835 DOI: 10.1044/2024_aja-23-00116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Indexed: 09/05/2024] Open
Abstract
PURPOSE This study explored user perspectives on the relationship between hearing aid cost and uptake, as well as cost-related recommendations for others with hearing difficulties, in a sample of prescription and over-the-counter (OTC) hearing aid users. METHOD A secondary analysis was conducted on a cross-sectional survey using qualitative content analysis to analyze responses related to the cost of hearing aids. The study included a total of 241 adult participants, comprising 179 prescription hearing aid users from the Hearing Tracker website and 62 OTC hearing aid users from the Lexie Hearing U.S. database. RESULTS Prescription users had a mean age of 66.7 years (SD = 13.2), including 62.0% males, 37.4% females, and 0.6% nonbinary individuals. OTC users had a mean age of 63.0 years (SD = 13.4), with 48.4% males and 51.6% females. Three overarching domains were identified: perceived enablers to hearing aid uptake related to the cost, perceived barriers to hearing aid uptake related to the cost, and recommendations to others with hearing difficulties related to the cost, with 14 categories recognized for prescription users and 12 for OTC users. Both groups identified the high cost of hearing aids and lack of insurance coverage as significant barriers to uptake. Many prescription users reported external support (e.g., financial support and health insurance coverage) as an enabler, while OTC users frequently mentioned the affordability of OTC devices. The most common recommendation among prescription users was to seek professional support, whereas OTC users recommended researching hearing aids before making a purchase. CONCLUSIONS Cost and insurance coverage consistently emerge as primary barriers to hearing aid adoption for both prescription and OTC users. To foster greater accessibility, initiatives should target these financial obstacles. Additional research is warranted on the relationship between hearing aid cost and uptake, especially among OTC users and those seeking financial assistance. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.26496922.
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Affiliation(s)
- Megan Knoetze
- Department of Speech-Language Pathology and Audiology, University of Pretoria, South Africa
- Virtual Hearing Lab, University of Colorado School of Medicine, Aurora, and University of Pretoria, South Africa
| | - Vinaya Manchaiah
- Department of Speech-Language Pathology and Audiology, University of Pretoria, South Africa
- Virtual Hearing Lab, University of Colorado School of Medicine, Aurora, and University of Pretoria, South Africa
- Department of Otolaryngology-Head and Neck Surgery, University of Colorado School of Medicine, Aurora
- UCHealth Hearing and Balance, University of Colorado Hospital, Aurora
- Department of Speech and Hearing, School of Allied Health Sciences, Manipal Academy of Higher Education, India
| | - Ilze Oosthuizen
- Department of Speech-Language Pathology and Audiology, University of Pretoria, South Africa
- Virtual Hearing Lab, University of Colorado School of Medicine, Aurora, and University of Pretoria, South Africa
| | - Eldre Beukes
- Virtual Hearing Lab, University of Colorado School of Medicine, Aurora, and University of Pretoria, South Africa
- Vision and Hearing Sciences Research Group, Anglia Ruskin University, Cambridge, United Kingdom
| | - De Wet Swanepoel
- Department of Speech-Language Pathology and Audiology, University of Pretoria, South Africa
- Virtual Hearing Lab, University of Colorado School of Medicine, Aurora, and University of Pretoria, South Africa
- Department of Otolaryngology-Head and Neck Surgery, University of Colorado School of Medicine, Aurora
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Saleh HK, Folkeard P, Liao S, Scollie S. Development and initial evaluation of the Hearing Aid Attribute and Feature Importance Evaluation (HAFIE) questionnaire. Int J Audiol 2024; 63:712-721. [PMID: 37712694 DOI: 10.1080/14992027.2023.2253498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 02/11/2023] [Revised: 08/22/2023] [Accepted: 08/24/2023] [Indexed: 09/16/2023]
Abstract
OBJECTIVES To develop and validate a novel questionnaire aimed at providing a structured, evidence-based methodology for hearing aid recommendation and selection using self-reported importance ratings for different modern hearing aid features. DESIGN The initial questionnaire items were created through a concept mapping approach that involved input from hearing aid users. Hearing care professional focus groups (n = 10) were conducted to assess questionnaire content and design, and to guide modifications. Validation of this initial 34-item version of the questionnaire was conducted using an anonymous online survey tool (Qualtrics). Exploratory factor analysis was used to assess the factor structure of the dataset, using principal axis factoring. Questionnaire reliability and inter-item correlation were assessed. Items with low factor loading and high cross-loading were removed. STUDY SAMPLE Two hundred and eighteen adult participants with a self-reported hearing loss (median age = 48 years, range = 18-95 years) completed the questionnaire. RESULTS Analysis and item removal resulted in a 28-item questionnaire. Three factors were identified, dividing the hearing aid features into the subscales: "Advanced connectivity & streaming", "Physical attributes & usability", and "Sound quality & intelligibility". CONCLUSION This study has resulted in a patient-oriented questionnaire that allows clinicians to gather patient input in a structured manner.
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Affiliation(s)
- Hasan K Saleh
- Health & Rehabilitation Sciences, Western University, London, Canada
- National Centre for Audiology, Western University, London, Canada
| | - Paula Folkeard
- National Centre for Audiology, Western University, London, Canada
| | - Selina Liao
- Health Studies, Faculty of Health Sciences, Western University, London, Canada
| | - Susan Scollie
- National Centre for Audiology, Western University, London, Canada
- Communication Sciences and Disorders, Faculty of Health Sciences, Western University, London, Canada
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Smith ML, Winn MB, Fitzgerald MB. A Large-Scale Study of the Relationship Between Degree and Type of Hearing Loss and Recognition of Speech in Quiet and Noise. Ear Hear 2024; 45:915-928. [PMID: 38389129 PMCID: PMC11175802 DOI: 10.1097/aud.0000000000001484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 01/20/2022] [Accepted: 01/10/2024] [Indexed: 02/24/2024]
Abstract
OBJECTIVES Understanding speech in noise (SIN) is the dominant complaint of individuals with hearing loss. For decades, the default test of speech perception in routine audiologic assessment has been monosyllabic word recognition in quiet (WRQ), which does not directly address patient concerns, leading some to advocate that measures of SIN should be integrated into routine practice. However, very little is known with regard to how SIN abilities are affected by different types of hearing loss. Here, we examine performance on clinical measures of WRQ and SIN in a large patient base consisting of a variety of hearing loss types, including conductive (CHL), mixed (MHL), and sensorineural (SNHL) losses. DESIGN In a retrospective study, we examined data from 5593 patients (51% female) who underwent audiometric assessment at the Stanford Ear Institute. All individuals completed pure-tone audiometry, and speech perception testing of monaural WRQ, and monaural QuickSIN. Patient ages ranged from 18 to 104 years (average = 57). The average age in years for the different classifications of hearing loss was 51.1 (NH), 48.5 (CHL), 64.2 (MHL), and 68.5 (SNHL), respectively. Generalized linear mixed-effect models and quartile regression were used to determine the relationship between hearing loss type and severity for the different speech-recognition outcome measures. RESULTS Patients with CHL had similar performance to patients with normal hearing on both WRQ and QuickSIN, regardless of the hearing loss severity. In patients with MHL or SNHL, WRQ scores remained largely excellent with increasing hearing loss until the loss was moderately severe or worse. In contrast, QuickSIN signal to noise ratio (SNR) losses showed an orderly systematic decrease as the degree of hearing loss became more severe. This effect scaled with the data, with threshold-QuickSIN relationships absent for CHL, and becoming increasingly stronger for MHL and strongest in patients with SNHL. However, the variability in these data suggests that only 57% of the variance in WRQ scores, and 50% of the variance in QuickSIN SNR losses, could be accounted for by the audiometric thresholds. Patients who would not be differentiated by WRQ scores are shown to be potentially differentiable by SIN scores. CONCLUSIONS In this data set, conductive hearing loss had little effect on WRQ scores or QuickSIN SNR losses. However, for patients with MHL or SNHL, speech perception abilities decreased as the severity of the hearing loss increased. In these data, QuickSIN SNR losses showed deficits in performance with degrees of hearing loss that yielded largely excellent WRQ scores. However, the considerable variability in the data suggests that even after classifying patients according to their type of hearing loss, hearing thresholds only account for a portion of the variance in speech perception abilities, particularly in noise. These results are consistent with the idea that variables such as cochlear health and aging add explanatory power over audibility alone.
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Affiliation(s)
- Michael L Smith
- Department of Otolaryngology-Head and Neck Surgery Stanford Ear Institute, Stanford University, Palo Alto, California, USA
- Department of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, Minnesota, USA
| | - Matthew B Winn
- Department of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, Minnesota, USA
| | - Matthew B Fitzgerald
- Department of Otolaryngology-Head and Neck Surgery Stanford Ear Institute, Stanford University, Palo Alto, California, USA
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Sabin AT, McElhone D, Gauger D, Rabinowitz B. Modeling the Intelligibility Benefit of Active Noise Cancelation in Hearing Devices That Improve Signal-to-Noise Ratio. Trends Hear 2024; 28:23312165241260029. [PMID: 38831646 PMCID: PMC11149449 DOI: 10.1177/23312165241260029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 11/03/2023] [Revised: 05/20/2024] [Accepted: 05/21/2024] [Indexed: 06/05/2024] Open
Abstract
The extent to which active noise cancelation (ANC), when combined with hearing assistance, can improve speech intelligibility in noise is not well understood. One possible source of benefit is ANC's ability to reduce the sound level of the direct (i.e., vent-transmitted) path. This reduction lowers the "floor" imposed by the direct path, thereby allowing any increases to the signal-to-noise ratio (SNR) created in the amplified path to be "realized" at the eardrum. Here we used a modeling approach to estimate this benefit. We compared pairs of simulated hearing aids that differ only in terms of their ability to provide ANC and computed intelligibility metrics on their outputs. The difference in metric scores between simulated devices is termed the "ANC Benefit." These simulations show that ANC Benefit increases as (1) the environmental sound level increases, (2) the ability of the hearing aid to improve SNR increases, (3) the strength of the ANC increases, and (4) the hearing loss severity decreases. The predicted size of the ANC Benefit can be substantial. For a moderate hearing loss, the model predicts improvement in intelligibility metrics of >30% when environments are moderately loud (>70 dB SPL) and devices are moderately capable of increasing SNR (by >4 dB). It appears that ANC can be a critical ingredient in hearing devices that attempt to improve SNR in loud environments. ANC will become more and more important as advanced SNR-improving algorithms (e.g., artificial intelligence speech enhancement) are included in hearing devices.
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Bannon L, Picou EM, Bailey A, Manchaiah V. Consumer Survey on Hearing Aid Benefit and Satisfaction. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023; 66:1410-1427. [PMID: 36944181 DOI: 10.1044/2022_jslhr-22-00066] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Academic Contribution Register] [Indexed: 06/14/2023]
Abstract
PURPOSE There is unexplained variability in self-reported hearing aid outcomes. The aim of this study was to evaluate determinants of hearing aid benefit and satisfaction ratings using a large-scale customer survey and to analyze the relation between demographic variables, hearing aid attributes, benefit, and satisfaction. METHOD The study used a retrospective design wherein 2,109 hearing aid users, recruited by Hearing Tracker and Hearing Loss Association of America, completed an online survey. The survey included questions about demographics, perceived hearing loss, devices, service delivery, cost, benefit, and satisfaction. The analytic approach included descriptive summaries and regression models to evaluate potential determinants of hearing aid benefit and satisfaction ratings. RESULTS Hearing aid sound quality, fit and comfort, and battery life were related to both benefit and satisfaction. Respondents who rated these outcomes favorably were also likely to benefit from, and be satisfied with, their hearing aids. Benefit was also related to degree of hearing loss, hearing aid experience, and cost. Hearing aid users with greater self-perceived hearing loss, more hearing aid experience, and more expensive hearing aids reported more benefit. Satisfaction was also related to age, employment status, and brand. Younger respondents, those who were students, and those using certain brands reported more satisfaction. CONCLUSIONS The results highlight importance of good hearing aid outcomes (quality, fit/comfort, and battery life) for benefit and satisfaction ratings. Professionals who fit hearing aids should strive to focus on achieving these outcomes and researchers should strive to explain the remaining variability in ratings of benefit and satisfaction. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.22280854.
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Affiliation(s)
- Larissa Bannon
- Department of Hearing and Speech Sciences, Vanderbilt Bill Wilkerson Center, Vanderbilt University, Nashville, TN
| | - Erin M Picou
- Department of Hearing and Speech Sciences, Vanderbilt Bill Wilkerson Center, Vanderbilt University, Nashville, TN
- Department of Hearing and Speech Sciences, Vanderbilt Bill Wilkerson Center, Vanderbilt University Medical Center, Nashville, TN
| | | | - Vinaya Manchaiah
- Department of Otolaryngology - Head & Neck Surgery, School of Medicine, University of Colorado, Aurora
- UCHealth Hearing and Balance Clinic, University of Colorado Hospital, Aurora
- Virtual Hearing Lab, Collaborative Initiative between University of Colorado School of Medicine and University of Pretoria, Aurora
- Department of Speech-Language Pathology and Audiology, University of Pretoria, South Africa
- Department of Speech and Hearing, Manipal College of Health Professions, Manipal Academy of Higher Education, India
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Picou EM. Hearing Aid Benefit and Satisfaction Results from the MarkeTrak 2022 Survey: Importance of Features and Hearing Care Professionals. Semin Hear 2022; 43:301-316. [PMCID: PMC9715311 DOI: 10.1055/s-0042-1758375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Indexed: 12/03/2022] Open
Abstract
The hearing aid market is rapidly evolving with advancements in features and potential changes in service delivery models, including the new over-the-counter device category. Data from the MarkeTrak 2022 survey indicate most hearing aid owners report regular quality-of-life benefits from hearing aids, even more than in previous surveys. The increased likelihood of hearing aid benefits might be attributable to modern hearing aid features advancements, such as wireless connectivity and rechargeable batteries. Hearing aid satisfaction rates have been relatively stable over the years, indicating that more than 80% of hearing aid owners are satisfied with their devices. Hearing aid satisfaction rates do not appreciably vary by fitting channel; hearing aid owners fitted in person, fitted remotely, or self-fit are similarly likely to report high satisfaction with their device. However, only respondents in the in-person channel gave establishment ratings (reflecting their willingness to recommend) that resulted and reflected a positive net promoter score. Given the potential for net promoter scores to be related to brand growth and customer loyalty, this finding has implications for the development of over-the-counter hearing aid service-delivery models. Additional work is warranted to explore the factors that negatively affect hearing aid owners' satisfaction with the companies delivering limited services.
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Affiliation(s)
- Erin M. Picou
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee,Address for correspondence Erin M. Picou, Au.D., Ph.D. 1215 21st Avenue S, Room 8310, Nashville, TN 37232
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