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Anthony Pak-Hin Kong

3 accepted papers

2019

Combining Phone Posteriorgrams from Strong and Weak Recognizers for Automatic Speech Assessment of People with Aphasia

ICASSP 2019accepted

This paper presents an investigation on applying automatic speech recognition (ASR) to speech assessment of people with aphasia (PWA). A distinctive characteristic of PWA speech is paraphasia, which refers to frequent occurrence of phonemic errors, unintended words and non-verbal sounds. In view of…

Cited by 0SourceScholar
2018

Automatic Speech Assessment for Aphasic Patients Based on Syllable-Level Embedding and Supra-Segmental Duration Features

ICASSP 2018accepted

Aphasia is a type of acquired language impairment resulting from brain injury. Speech assessment is an important part of the comprehensive assessment process for aphasic patients. It is based on the acoustical and linguistic analysis of patients' speech elicited through pre-defined story-telling tas…

Cited by 0SourceScholar
2016

Automatic speech recognition for acoustical analysis and assessment of cantonese pathological voice and speech

ICASSP 2016accepted

This paper describes the application of state-of-the-art automatic speech recognition (ASR) systems to objective assessment of voice and speech disorders. Acoustical analysis of speech has long been considered a promising approach to non-invasive and objective assessment of people. In the past the t…

Cited by 0SourceScholar