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1996 …2024

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Personal profile

Personal profile

Dr. Kevin YUEN Chi Pun is an Associate Professor at the Department of Special Education and Counselling, Faculty of Education & Human Development, The Education University of Hong Kong (EdUHK).


Dr. Yuen has dual professional qualifications as an audiologist and a speech-language pathologist (or speech therapist). He was also trained as an experienced cochlear implant clinical specialist audiologist.


Dr. Yuen received his undergraduate degree in speech and hearing sciences, a master’s degree in audiology from the University of Hong Kong, and a doctor of philosophy degree from the Faculty of Medicine at 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 quiet and noisy 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 Neighbourhood Test, the Computerised Cantonese Disyllabic-word Lexical Tone Identification Test in Noise, and the Computerised 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's research areas is to identify and remediate young individuals in the Chinese communities with (Central) Auditory Processing Disorders [(C)APD] and to investigate the relationship of (C)APD with speech recognition and spoken and written language learning development. A recent innovation from his research team is the Cantonese Pediatric Lexical Tone Dichotic Listening Test (CaPeLeTo DLT), which was developed to identify young children with (C)APD.


Dr Yuen’s latest project is to lead a world-wide cross language investigation on the development of hemispheric laterality for speech and language processing in young Cantonese-, Arabic-, Mandarin-, Greek-, Maltese- and English- speaking children in Hong Kong, China, United Arab Emirates, Greece, Malta and Australia who are typically developing and with disordered hemispheric laterality in speech and language processing. This worldwide research project aims to offer a solution to early identify and remediate young children with (C)APD and to prevent potential delays and disorders in their speech recognition and oral and written language development. The project's first phase is the development of a cross-language computerised Monosyllabic Word Picture Identification Dichotic Listening Test for all the above-mentioned languages.

Research interests

Specialisation
Audiology, Speech-Language Pathology, Speech Acoustics, Deafness and Hard of Hearing (DHH), Hearing Impairments (HI), Central Auditory Processing Disorders (CAPD), Speech Recognition, Dichotic Listening, Cochlear Implant and hearing aid sound processing outcomes

Research Interests
Speech recognition and central auditory processing test development
Screening, assessment and re/habilitation of children with HI and CAPD
Speech, language, hearing, learning and communication challenges of children with DHH, HI and CAPD
Cantonese and Mandarin speech and lexical tone recognition in children with normal hearing, DHH, HI and CAPD


External Appointments

Adjunct Assistant professor, Department of Otorhinolaryngology, Head & Neck Surgery, The Chinese University of Hong Kong, 2010-.

Chairperson, Continuing Professional Development Board, Hong Kong Society of Audiology, 2014-.

Professional information

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities

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