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Towards Automatic Assessment of Aphasia Speech Using Automatic Speech Recognition Techniques

Citation Author(s):
Ying Qin, Tan Lee, Anthony Pak Hin Kong, Sam Po Law
Submitted by:
Ying QIN
Last updated:
14 October 2016 - 5:51am
Document Type:
Presentation Slides
Document Year:
2016
Event:
Presenters:
Ying Qin
Paper Code:
121
Categories:
 

Aphasia 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.

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