Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition
Author:
Affiliation:
1. Speech and Hearing Research Group (SPandH), University of Sheffield,UK
2. King’s College London,Department of Engineering,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746855.pdf?arnumber=9746855
Reference25 articles.
1. Deep audio-visual speech recognition;afouras;IEEE Transactions on Pattern Analysis and Machine Intelligence,2018
2. Integrating articulatory data in deep neural network-based acoustic modeling
3. Joint modeling of articulatory and acoustic spaces for continuous speech recognition tasks
4. Dysarthric speech database for universal access research
5. Low-level articulatory synthesis: A working text-to-speech solution and a linguistic tool
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3. Corpus Construction for Deaf Speakers and Analysis by Automatic Speech Recognition;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31
4. Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation;INTERSPEECH 2023;2023-08-20
5. Dysarthric Speech Detection Using Hybrid Models;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
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