Ka Ho Wong

Ka Ho Wong
The Chinese University of Hong Kong | CUHK · Department of Systems Engineering and Engineering Management


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Additional affiliations
January 2010 - present
The Chinese University of Hong Kong
  • PhD Student


Publications (16)
Conversational agents (CAs) have the great potential in mitigating the clinicians' burden in screening for neurocognitive disorders among older adults. It is important, therefore, to develop CAs that can be engaging, to elicit conversational speech input from older adult participants for supporting assessment of cognitive abilities. As an initial s...
Conference Paper
Full-text available
Speech disorders affect many people around the world and introduce a negative impact on their quality of life. Dysarthria is a neural-motor speech disorder that obstructs the normal production of speech. Current automatic speech recognition (ASR) systems are developed for normal speech. They are not suitable for accurate recognition of disordered s...
Conference Paper
Imprecise articulatory breakdown is one of the characteristics of dysarthric speech. This work attempts to develop a framework to automatically identify problematic articulatory patterns of dysarthric speakers in terms of distinctive features (DFs), which are effective for describing speech production. The identification of problematic articulatory...
Conference Paper
We have developed distributed text-to-audiovisual-speech synthesizer (TTAVS) to support interactivity in computer-aided pronunciation training (CAPT) on a mobile platform. The TTAVS serves to generate audiovisual corrective feedback based on detected mispronunciations from the second language learner's speech. Our approach encodes key visemes in SV...
Abstract —This paper presents our group’s latest progress in developing Enunciate — an online computer-aided pronunciation training (CAPT) system for Chinese learners of English. Presently, the system targets segmental pronunciation errors. It consists of an audio-enabled web interface, a speech recognizer for mispronunciation detection and diagnos...
Conference Paper
This paper presents a visual speech synthesizer providing midsagittal and front views of the vocal tract to help language learners to correct their mispronunciations. We adopt a set of allophonic rules to determine the visualization of allophonic variations. We also implement coarticulation by decomposing a viseme (visualization of all articulators...
Conference Paper
This paper presents a two-dimensional (2D) visual-speech synthesizer to support language learning. A visual-speech synthesizer animates the human articulators in synchronization with speech signals, e.g., output from a text-to-speech synthesizer. A visual-speech animation can offer a concrete illustration to the language learners on how to move and...
This paper presents our group's ongoing research in the area of computer-aided pronunciation training (CAPT) for Chinese learners of English. Our goal is to develop technologies in automatic speech recognition (ASR) to support productive training for learners. We focus on modeling possible errors due to negative transfer from L1 (i.e. Chinese) of C...


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