Towards Automatic Assessment of Aphasia Speech Using Automatic Speech Recognition Techniques
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AbstractAphasia is a type of acquired language impairment caused by brain injury. This paper presents an automatic speech recog- nition (ASR) based approach to objective assessment of apha- sia patients. A dedicated ASR system is developed to facilitate acoustical and linguistic analysis of Cantonese aphasia speech. The acoustic models and the language models are trained with domain- and style-matched speech data from unimpaired con- trol speakers. The speech recognition performance of this sys- tem is evaluated on natural oral discourses from patients with various types of aphasia. We analyze the recognition outputs for a set of selected utterances in the aspects of supra-segmental duration and linguistic content, and confirm the effectiveness of the relevant features in the assessment of aphasia speech.
All Author(s) ListYing Qin, Tan Lee, Anthony Pak Hin Kong, Sam Po Law
Name of ConferenceThe 10th International Symposium on Chinese Spoken Language Processing
Start Date of Conference17/10/2016
End Date of Conference20/10/2016
Place of ConferenceTianjin
Country/Region of ConferenceChina
Journal name2016 10th International Symposium on Chinese Spoken Language Processing (ISCSLP)
Proceedings Title2016 10th International Symposium on Chinese Spoken Language Processing (ISCSLP)
LanguagesEnglish-United States
KeywordsAphasia speech, automatic speech recognition, objective assessment

Last updated on 2021-20-09 at 23:29