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Some voices are too common: Building fair speech recognition systems
  using the Common Voice dataset

Some voices are too common: Building fair speech recognition systems using the Common Voice dataset

1 June 2023
Lucas Maison
Yannick Esteve
ArXiv (abs)PDFHTML

Papers citing "Some voices are too common: Building fair speech recognition systems using the Common Voice dataset"

29 / 29 papers shown
Title
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
Yu Zhang
Wei Han
James Qin
Yongqiang Wang
Ankur Bapna
...
Pedro J. Moreno
Chung-Cheng Chiu
J. Schalkwyk
Franccoise Beaufays
Yonghui Wu
VLM
136
270
0
02 Mar 2023
Robust Speech Recognition via Large-Scale Weak Supervision
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford
Jong Wook Kim
Tao Xu
Greg Brockman
C. McLeavey
Ilya Sutskever
OffRL
216
3,757
0
06 Dec 2022
Reducing Geographic Disparities in Automatic Speech Recognition via
  Elastic Weight Consolidation
Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation
V. Trinh
Pegah Ghahremani
Brian King
J. Droppo
A. Stolcke
Roland Maas
MoMe
35
7
0
16 Jul 2022
DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised
  Learning and Its Application to Children's ASR
DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children's ASR
Ruchao Fan
Abeer Alwan
82
30
0
16 Jun 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSLAI4TS
264
367
0
21 May 2022
Combining Spectral and Self-Supervised Features for Low Resource Speech
  Recognition and Translation
Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translation
Dan Berrebbi
Jiatong Shi
Brian Yan
Osbel López-Francisco
Jonathan D. Amith
Shinji Watanabe
56
27
0
05 Apr 2022
A Study of Gender Impact in Self-supervised Models for Speech-to-Text
  Systems
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems
Marcely Zanon Boito
Laurent Besacier
N. Tomashenko
Yannick Esteve
63
19
0
04 Apr 2022
How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An
  Extensive Benchmark on Air Traffic Control Communications
How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications
Juan Pablo Zuluaga
Amrutha Prasad
Iuliia Nigmatulina
Seyyed Saeed Sarfjoo
P. Motlícek
Matthias Kleinert
H. Helmke
Oliver Ohneiser
Qingran Zhan
78
44
0
31 Mar 2022
A Noise-Robust Self-supervised Pre-training Model Based Speech
  Representation Learning for Automatic Speech Recognition
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition
Qiu-shi Zhu
Jie Zhang
Zi-qiang Zhang
Ming Wu
Xin Fang
Lirong Dai
175
41
0
22 Jan 2022
Towards Measuring Fairness in Speech Recognition: Casual Conversations
  Dataset Transcriptions
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions
Chunxi Liu
M. Picheny
Leda Sari
Pooja Chitkara
Alex Xiao
Xiaohui Zhang
Mark Chou
Andres Alvarado
C. Hazirbas
Yatharth Saraf
85
44
0
18 Nov 2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech
  Processing
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Sanyuan Chen
Chengyi Wang
Zhengyang Chen
Yu-Huan Wu
Shujie Liu
...
Yao Qian
Jian Wu
Micheal Zeng
Xiangzhan Yu
Furu Wei
SSL
276
1,908
0
26 Oct 2021
ASR4REAL: An extended benchmark for speech models
ASR4REAL: An extended benchmark for speech models
M. Rivière
Jade Copet
Gabriel Synnaeve
AuLLM
78
15
0
16 Oct 2021
Don't speak too fast: The impact of data bias on self-supervised speech
  models
Don't speak too fast: The impact of data bias on self-supervised speech models
Yen Meng
Yi-Hui Chou
Andy T. Liu
Hung-yi Lee
85
27
0
15 Oct 2021
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning
  for Automatic Speech Recognition
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition
Yu Zhang
Daniel S. Park
Wei Han
James Qin
Anmol Gulati
...
Zhifeng Chen
Quoc V. Le
Chung-Cheng Chiu
Ruoming Pang
Yonghui Wu
SSL
67
175
0
27 Sep 2021
W2v-BERT: Combining Contrastive Learning and Masked Language Modeling
  for Self-Supervised Speech Pre-Training
W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training
Yu-An Chung
Yu Zhang
Wei Han
Chung-Cheng Chiu
James Qin
Ruoming Pang
Yonghui Wu
SSLVLM
67
429
0
07 Aug 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked
  Prediction of Hidden Units
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu
Benjamin Bolte
Yao-Hung Hubert Tsai
Kushal Lakhotia
Ruslan Salakhutdinov
Abdel-rahman Mohamed
SSL
188
3,004
0
14 Jun 2021
SpeechBrain: A General-Purpose Speech Toolkit
SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli
Titouan Parcollet
Peter William VanHarn Plantinga
Aku Rouhe
Samuele Cornell
...
William Aris
Hwidong Na
Yan Gao
R. Mori
Yoshua Bengio
101
768
0
08 Jun 2021
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised
  Pre-Training
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
Wei-Ning Hsu
Anuroop Sriram
Alexei Baevski
Tatiana Likhomanenko
Qiantong Xu
...
Jacob Kahn
Ann Lee
R. Collobert
Gabriel Synnaeve
Michael Auli
SSL
82
241
0
02 Apr 2021
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation
  Learning, Semi-Supervised Learning and Interpretation
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
Changhan Wang
M. Rivière
Ann Lee
Anne Wu
Chaitanya Talnikar
Daniel Haziza
Mary Williamson
J. Pino
Emmanuel Dupoux
SSL
108
496
0
02 Jan 2021
Rethinking Evaluation in ASR: Are Our Models Robust Enough?
Rethinking Evaluation in ASR: Are Our Models Robust Enough?
Tatiana Likhomanenko
Qiantong Xu
Vineel Pratap
Paden Tomasello
Jacob Kahn
Gilad Avidov
R. Collobert
Gabriel Synnaeve
147
98
0
22 Oct 2020
Self-training and Pre-training are Complementary for Speech Recognition
Self-training and Pre-training are Complementary for Speech Recognition
Qiantong Xu
Alexei Baevski
Tatiana Likhomanenko
Paden Tomasello
Alexis Conneau
R. Collobert
Gabriel Synnaeve
Michael Auli
SSLVLM
139
173
0
22 Oct 2020
Pushing the Limits of Semi-Supervised Learning for Automatic Speech
  Recognition
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition
Yu Zhang
James Qin
Daniel S. Park
Wei Han
Chung-Cheng Chiu
Ruoming Pang
Quoc V. Le
Yonghui Wu
VLMSSL
218
310
0
20 Oct 2020
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
303
5,849
0
20 Jun 2020
Improved Noisy Student Training for Automatic Speech Recognition
Improved Noisy Student Training for Automatic Speech Recognition
Daniel S. Park
Yu Zhang
Ye Jia
Wei Han
Chung-Cheng Chiu
Yue Liu
Yonghui Wu
Quoc V. Le
107
243
0
19 May 2020
Conformer: Convolution-augmented Transformer for Speech Recognition
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati
James Qin
Chung-Cheng Chiu
Niki Parmar
Yu Zhang
...
Wei Han
Shibo Wang
Zhengdong Zhang
Yonghui Wu
Ruoming Pang
229
3,164
0
16 May 2020
Common Voice: A Massively-Multilingual Speech Corpus
Common Voice: A Massively-Multilingual Speech Corpus
Rosana Ardila
Megan Branson
Kelly Davis
Michael Henretty
M. Kohler
Josh Meyer
Reuben Morais
Lindsay Saunders
Francis M. Tyers
Gregor Weber
VLM
98
1,620
0
13 Dec 2019
SpecAugment: A Simple Data Augmentation Method for Automatic Speech
  Recognition
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Daniel S. Park
William Chan
Yu Zhang
Chung-Cheng Chiu
Barret Zoph
E. D. Cubuk
Quoc V. Le
VLM
190
3,471
0
18 Apr 2019
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
165
6,635
0
22 Dec 2012
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