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Automatic Severity Classification of Dysarthric speech by using
  Self-supervised Model with Multi-task Learning
v1v2v3 (latest)

Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task Learning

27 October 2022
Eunjung Yeo
Kwanghee Choi
Sunhee Kim
Minhwa Chung
ArXiv (abs)PDFHTML

Papers citing "Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task Learning"

5 / 5 papers shown
Title
Cross-lingual Dysarthria Severity Classification for English, Korean,
  and Tamil
Cross-lingual Dysarthria Severity Classification for English, Korean, and Tamil
Eunjung Yeo
Kwanghee Choi
Sunhee Kim
Minhwa Chung
46
8
0
26 Sep 2022
Investigating Self-supervised Pretraining Frameworks for Pathological
  Speech Recognition
Investigating Self-supervised Pretraining Frameworks for Pathological Speech Recognition
Lester Phillip Violeta
Wen-Chin Huang
Tomoki Toda
79
34
0
29 Mar 2022
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at
  Scale
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
Arun Babu
Changhan Wang
Andros Tjandra
Kushal Lakhotia
Qiantong Xu
...
Yatharth Saraf
J. Pino
Alexei Baevski
Alexis Conneau
Michael Auli
SSL
110
708
0
17 Nov 2021
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech
  Representations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski
Henry Zhou
Abdel-rahman Mohamed
Michael Auli
SSL
299
5,849
0
20 Jun 2020
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
202
9,479
0
09 Feb 2018
1