Research Output per year
Personal profile
Personal profile
Chinese Name : 袁志彬
Variants : Yuen, K. C. P.
Dr. Kevin YUEN Chi Pun is an Associate Professor at the Department of Special Education and Counselling, The Education University of Hong Kong (EdUHK). He is also the Director of Integrated Centre for Wellbeing (I-WELL), Faculty of Education & Human Development, EdUHK.
Dr. Yuen has dual professional qualifications as an audiologist and a speech-language pathologist (or speech therapist). He is also an expereinced cochlear implant clinical specialist audiologist.
Dr. Yuen received his undergraduate degree in Speech and Hearing Sciences and master’s degree in Audiology from The University of Hong Kong, and Doctor of Philosophy degree from the Faculty of Medicine, The Chinese University of Hong Kong.
Dr. Yuen has a strong research interest in sound perception and speech recognition of children with normal hearing and children with deafness and hard-of-hearing (DHH) in both quiet and noise environments. He investigated the contribution of frequency-specific temporal envelope and periodicity components (without any fine structure components) for lexical tone recognition in normal hearing and DHH listeners. Dr. Yuen developed the Cantonese Lexical Neighborhood Test, the Computerized Cantonese Disyllabic-word Lexical Tone Identification Test in Noise, and the Computerized Mandarin Pediatric Lexical tone & Disyllabic-word Picture identification test in Noise to serve the Cantonese- and Mandarin- speaking populations in Hong Kong and Mainland China.
One of Dr Yuen'e new research areas is to identify and remediate young individuals in the Chinese communities with Auditory Processing Disorders (APD) and to investigate the impact of APD on speech and language development, learning. The latest innovative test developlment from his researh team is The Cantonese Pediatric Lexical Tone Dichotic Listening Test (CaPeLeTo DLT) which was developed for the identification of young children wiht APD.
Research interests
Development of new speech-recognition-in-noise tests for measuring hearing prosthesis (inlcuidng hearing aids and cochlear implants) outcomes in young children who are deaf or hard-of-hearing (DHH).
Development of new tests to identify auditory processing disorders in young children, e.g. Cantonese Pediatic Lexical Tone Dichotic Listeing Test (CaPeLeTo DLT).
Assessment and re/habilitation of children with DHH.
Learning, speech-language, and educational challenges of children with auditory processing disorders and DHH.
Cantonese and Mandarin lexical tone recognition in normal hearing and DHH populations.
Professional information
ORCID : 0000-0003-2587-0419
Scopus ID : 7202333756
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Research Outputs
The MAndarin spoken word—Picture IDentification test in noise—Adaptive (MAPID-A) measures subtle speech-recognition-in-noise changes and spatial release from masking in very young children
YUEN, K. C. P., QIU, X. Y., MOU, H. Y. & XI, X., Jan 2019, In : PLoS One. 14, 1, e0209768.Research output: Contribution to journal › Articles
How to assess the best level of auditory processing skills in children and adolescents with comorbid central auditory processing disorder and developmental disabilities affecting language, learning and communication?
YUEN, C. P., Nov 2018.Research output: Contribution to conference › Papers
Typical listeners’ recognition of monosyllabic words carrying Cantonese contour lexical tones produced by speakers with Parkinson's disease
YUEN, C. P., HUEN, J. & KWAN-CHEN, L. L. Y., Feb 2018Research output: Other contribution › Other contributions
The MAndarin Spoken word - Picture IDentification Test in noise - Adaptive (MAPID-A) detects subtle speech-recognition-in-noise performance changes in young children
YUEN, C. P., MOU, H. Y., YUAN, M., QIU, X. Y., FU, Y. & XI, X., Aug 2016.Research output: Contribution to conference › Papers
Using the item response theory model to select sensitive test items for the new “Mandarin lexical tone dichotic listening test
YUEN, C. P., YUAN, M., MOU, H. Y. & SAM, K. L. S., Aug 2016.Research output: Contribution to conference › Papers