標題: AUTOMATIC SPEECH RECOGNITION FOR ACOUSTICAL ANALYSIS AND ASSESSMENT OF CANTONESE PATHOLOGICAL VOICE AND SPEECH
作者: Lee, Tan
Liu, Yuanyuan
Huang, Pei-Wen
Chien, Jen-Tzung
Lam, Wang Kong
Yeung, Yu Ting
Law, Thomas K. T.
Lee, Kathy Y. S.
Kong, Anthony Pak-Hin
Law, Sam-Po
電機工程學系
Department of Electrical and Computer Engineering
關鍵字: Pathological speech;automatic speech recognition;acoustical analysis;objective assessment
公開日期: 2016
摘要: 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 types and amount of speech materials used for acoustical assessment were very limited. With the ASR technology, we are able to perform acoustical and linguistic analyses with a large amount of natural speech from impaired speakers. The present study is focused on Cantonese, which is a major Chinese dialect. Two representative disorders of speech production are investigated: dysphonia and aphasia. ASR experiments are carried out with continuous and spontaneous speech utterances from Cantonese-speaking patients. The results confirm the feasibility and potential of using natural speech for acoustical assessment of voice and speech disorders, and reveal the challenging issues in acoustic modeling and language modeling of pathological speech.
URI: http://hdl.handle.net/11536/136367
ISBN: 978-1-4799-9988-0
ISSN: 1520-6149
期刊: 2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS
起始頁: 6475
結束頁: 6479
Appears in Collections:Conferences Paper