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...
Main Authors: | Yuki Takashima, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8892556/ |
Similar Items
-
Characterizing Dysarthric Speech with Transfer Learning
Published: (2020) -
Production Knowledge in the Recognition of Dysarthric Speech
by: Rudzicz, Frank
Published: (2011) -
Production Knowledge in the Recognition of Dysarthric Speech
by: Rudzicz, Frank
Published: (2011) -
Dysarthric speaker identification with different degrees of dysarthria severity using deep belief networks
by: Aref Farhadipour, et al.
Published: (2018-07-01) -
Objective Assessment of Dysarthric Speech Intelligibility
by: HUMMEL, RICHARD
Published: (2011)