Development of CNN-based robust dysarthric isolated digit recognition system by enhancing speech intelligibility
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42600-022-00239-7.pdf
Reference16 articles.
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3. Binh PH, Hoang PV, Ba DX. A high-performance speech-recognition method based on a nonlinear neural network, 2021 international conference on system science and engineering (ICSSE). 2021:96–100. https://doi.org/10.1109/ICSSE52999.2021.9537942.
4. Chen C-Y, Zheng W-Z, Wang S-S, Tsao Y, Li P-C, Lai Y-H. Enhancing intelligibility of dysarthric speech using gated convolutional based voice conversion system. Interspeech. 2020;2022:4686–90. https://doi.org/10.21437/Interspeech.2020-1367.
5. Emre Y, Vikramjit M, Sivaramand G, Franco H. Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech. Comput Speech Lang. 2019;58:319–34. https://doi.org/10.1016/j.csl.2019.05.002.
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