Knowledge Transferability Between the Speech Data of Persons With Dysarthria Speaking Different Languages for Dysarthric Speech Recognition

Knowledge Transferability Between the Speech Data of Persons With Dysarthria Speaking Different Languages for Dysarthric Speech Recognition

In this paper, we present an end-to-end speech recognition system for Japanese persons with articulation disorders resulting from athetoid cerebral palsy. Because their utterance is often unstable or unclear, speech recognition systems struggle to recognize their speech. Recent deep learning-based a...

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Bibliographic Details
Main Authors: Yuki Takashima, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Assistive technology
deep learning
dysarthria
end-to-end model
knowledge transfer
multilingual
Online Access:https://ieeexplore.ieee.org/document/8892556/

Internet

https://ieeexplore.ieee.org/document/8892556/

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