This course delves into the challenges of identifying hearing loss in young children and introduces an artificial intelligence (AI)-based method for distinguishing speech characteristics in children with and without hearing loss, potentially enhancing screening effectiveness. Additionally, it explores the validation of AI methods to enhance speech intelligibility assessment in children. Furthermore, NALguide, a user-friendly tool from the National Acoustic Laboratories, simplifies the understanding of hearing aid features, making it accessible to both clinicians and patients and promoting informed discussions about hearing aid technologies.
Course created on November 28, 2023
- After this course, participants will be able to describe the barriers to widespread hearing screening of children between the newborn period and starting school and identify potential differences in the speech of children with and without hearing loss.
- After this course, participants will be able to describe traditional methods for assessing speech intelligibility performance and assess the reliability and validity of AI-based method compared to results obtained from human listeners and discuss the potential implication for early intervention.
- After this course, participants will be able to discuss how to locate, share, and use the NALguide as a resource or counselling tool.
|5-10 Minutes||Background: hearing screening for 2-4 year olds|
|10-15 Minutes||Using AI to identify hearing loss from speech – A proof of concept|
|15-20 Minutes||Interviews with parents and stakeholders|
|20-30 Minutes||Developing an app to capture children’s speech|
|30-35 Minutes||Summary by Jessica Monaghan, PhD|
|35-45 Minutes||Background of speech intelligibility and traditional methods of assessing speech intelligibility|
|45-55 Minutes||AI method to automatically assess children’s speech intelligibility, and compare the accuracy and consistency of transcriptions between AI and human listeners|
|55-60 Minutes||Summary by Vicky Zhang, PhD|
|60-70 Minutes||Introduction to NALguide|
|70-80 Minutes||NALguide; intention and methods|
|80-85 Minutes||NALguide; adoption and use case|
|85-90 Minutes||Summary & Q/A|
Dr Jessica Monaghan is a Senior Research Scientist at the National Acoustic Laboratories in Sydney, specializing in the application of machine learning to hearing healthcare. Her experience encompasses work on automatic speech recognition, cochlear implant algorithms, and noise-reduction techniques. Her current research focuses on leveraging the power of machine learning to develop new approaches for identifying hearing loss, as well as improving the performance and personalization of hearing devices.
Dr. Zhang is a Senior Researcher with over 20 years of experience in the area of hearing assessment and rehabilitation for children with hearing loss. Her main research has focused on investigating the efficacy of early intervention for populations of children with bilateral hearing loss or unilateral hearing loss, and evaluation of sound detection and discrimination in children with hearing loss. Additionally, she is passionate about exploring the applications of telehealth and AI technology in the field of audiology.
Matt Croteau is a research audiologist with a science and technical background who has worked in the areas of hearing assessment, diagnosis, and rehabilitation for adult, paediatric, and complex clients. Much of the research he undertakes at NAL is in understanding individual impacts of hearing loss and the evaluation and development of new solutions and technologies.
Financial: Jess Monaghan is employed by NAL. Non-financial: Jess Monaghan has no relevant non-financial relationships to disclose.
Financial: Matt Croteau is employed by NAL. Non-financial: Matt Croteau has no relevant non-financial relationships to disclose.
In lieu of honorarium, a donation has been made to the NAL student internship program.
Sponsor Disclosure: This course is presented by the National Acoustics Laboratories in partnership with AudiologyOnline.
Content Disclosure: This learning event does not focus exclusively on any specific product or service.
Course participation information
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American Academy of Audiology
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Australian College of Audiology
AudiologyOnline courses are approved for Continuing Education Points by the Australian College of Audiology. Automatic ACAud Approval Number 20000. This course is offered for 1.5 CEP.
Association of Hearing Instrument Practitioners of Ontario
The Association of Hearing Instrument Practitioners of Ontario (AHIP) represents and guide its members in their practice which include, the testing and selecting, fitting and dispensing hearing instruments and associated devices in the best interest of the hard of hearing of Ontario. Audiology Online is an approved provider of approved educational activities for AHIP Members. One hour of coursework equals 1 Continuing Education Unit (CEU).
British Academy of Audiology
This course has been accredited with 1.5 CPD point/s by the British Academy of Audiology.
Canadian Academy of Audiology
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California Speech-Language Pathology & Audiology Board
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International Hearing Society
This program is approved by the International Hearing Society and its educational committee, the International Institute for Hearing Instruments Studies. To learn more about earning IHS CE Credit, click here.
Kansas Department for Aging and Disability Services
Kansas Department of Health and Environment: Approved for 1.5 continuing education clock hours for Kansas licensed Audiologists by the Kansas Department for Aging and Disability Services. Long-Term Sponsorship number LTS-S0035.
New Zealand Audiological Society
This course is offered for 2.0 Continuing Education points through the New Zealand Audiological Society.
Speech-Language & Audiology Canada
Clinically certified members of Speech-Language & Audiology Canada (SAC) can accumulate continuing education equivalents (CEEs) for their participation with AudiologyOnline. One hour of coursework equals 1 CEE. All SAC members are encouraged to participate in on-going education.