Automatic speech recognition for acoustical analysis and assessment of Cantonese pathological voice and speech
Refereed conference paper presented and published in conference proceedings

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AbstractThis 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.
All Author(s) ListLee T., Liu Y., Huang P.-W., Chien J.-T., Lam W.K., Yeung Y.T., Law T.K.T., Lee K.Y.S., Kong A.P.-H., Law S.-P.
Name of Conference41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Start Date of Conference20/03/2016
End Date of Conference25/03/2016
Place of ConferenceShanghai
Country/Region of ConferenceChina
Detailed descriptionorganized by IEEE Signal Processing Society,
Volume Number2016-May
Pages6475 - 6479
LanguagesEnglish-United Kingdom
Keywordsacoustical analysis, automatic speech recognition, objective assessment, Pathological speech

Last updated on 2021-12-09 at 23:47