Acoustic Modelling From Raw Source and Filter Components for Dysarthric Speech Recognition-Reference-Cited by-同舟云学术

Acoustic Modelling From Raw Source and Filter Components for Dysarthric Speech Recognition

Published:2022 Issue: Volume:30 Page:2968-2980
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Yue Zhengjun¹^ORCID,Loweimi Erfan¹^ORCID,Christensen Heidi²,Barker Jon²,Cvetkovic Zoran¹^ORCID

Affiliation:

1. King's College London, London, U.K.

2. Speech and Hearing Research Group, University of Sheffield, Sheffield, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9657755/09900378.pdf?arnumber=9900378

Reference59 articles.

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2. Speaker adaptation of neural network acoustic models using i-vectors

3. The TORGO database of acoustic and articulatory speech from speakers with dysarthria

4. Front-End Factor Analysis for Speaker Verification

5. Visualizing data using t-SNE;maaten;J Mach Learn Res,2008

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