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Extracting speaker and emotion information from self-supervised speech
  models via channel-wise correlations

Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations

15 October 2022
Themos Stafylakis
Ladislav Mošner
Sofoklis Kakouros
Oldrich Plchot
L. Burget
J. Černocký
    SSL
ArXivPDFHTML

Papers citing "Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations"

5 / 5 papers shown
Title
Efficiency-oriented approaches for self-supervised speech representation
  learning
Efficiency-oriented approaches for self-supervised speech representation learning
Luis Lugo
Valentin Vielzeuf
SSL
19
1
0
18 Dec 2023
SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of
  Self-Supervised Speech Representation Learning
SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning
Tzu-hsun Feng
Annie Dong
Ching-Feng Yeh
Shu-Wen Yang
Tzu-Quan Lin
...
Xuankai Chang
Shinji Watanabe
Abdel-rahman Mohamed
Shang-Wen Li
Hung-yi Lee
ELM
SSL
13
33
0
16 Oct 2022
Fine-tuning wav2vec2 for speaker recognition
Fine-tuning wav2vec2 for speaker recognition
Nik Vaessen
David A. van Leeuwen
34
107
0
30 Sep 2021
Exploring wav2vec 2.0 on speaker verification and language
  identification
Exploring wav2vec 2.0 on speaker verification and language identification
Zhiyun Fan
Meng Li
Shiyu Zhou
Bo Xu
103
202
0
11 Dec 2020
VoxCeleb2: Deep Speaker Recognition
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung
Arsha Nagrani
Andrew Zisserman
214
2,224
0
14 Jun 2018
1