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Toward a realistic model of speech processing in the brain with
  self-supervised learning
v1v2 (latest)

Toward a realistic model of speech processing in the brain with self-supervised learning

3 June 2022
Juliette Millet
Charlotte Caucheteux
Pierre Orhan
Yves Boubenec
Alexandre Gramfort
Ewan Dunbar
Christophe Pallier
J. King
ArXiv (abs)PDFHTML

Papers citing "Toward a realistic model of speech processing in the brain with self-supervised learning"

24 / 24 papers shown
Title
Improving Semantic Understanding in Speech Language Models via Brain-tuning
Improving Semantic Understanding in Speech Language Models via Brain-tuning
Omer Moussa
Dietrich Klakow
Mariya Toneva
73
8
0
11 Oct 2024
Predicting non-native speech perception using the Perceptual
  Assimilation Model and state-of-the-art acoustic models
Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models
Juliette Millet
I. Chitoran
Ewan Dunbar
50
5
0
31 May 2022
Do self-supervised speech models develop human-like perception biases?
Do self-supervised speech models develop human-like perception biases?
Juliette Millet
Ewan Dunbar
SSL
65
23
0
31 May 2022
Self-supervised models of audio effectively explain human cortical
  responses to speech
Self-supervised models of audio effectively explain human cortical responses to speech
Aditya R. Vaidya
Shailee Jain
Alexander G. Huth
75
48
0
27 May 2022
A Brief Overview of Unsupervised Neural Speech Representation Learning
A Brief Overview of Unsupervised Neural Speech Representation Learning
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
Lars Maaløe
Christian Igel
BDLAI4TSSSL
71
11
0
01 Mar 2022
Long-range and hierarchical language predictions in brains and
  algorithms
Long-range and hierarchical language predictions in brains and algorithms
Charlotte Caucheteux
Alexandre Gramfort
J. King
42
22
0
28 Nov 2021
Model-based analysis of brain activity reveals the hierarchy of language
  in 305 subjects
Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects
Charlotte Caucheteux
Alexandre Gramfort
J. King
90
32
0
12 Oct 2021
Layer-wise Analysis of a Self-supervised Speech Representation Model
Layer-wise Analysis of a Self-supervised Speech Representation Model
Ankita Pasad
Ju-Chieh Chou
Karen Livescu
SSL
74
308
0
10 Jul 2021
Low-Dimensional Structure in the Space of Language Representations is
  Reflected in Brain Responses
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
Richard Antonello
Javier S. Turek
Vy A. Vo
Alexander G. Huth
71
41
0
09 Jun 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSLDML
153
944
0
11 May 2021
Disentangling Syntax and Semantics in the Brain with Deep Networks
Disentangling Syntax and Semantics in the Brain with Deep Networks
Charlotte Caucheteux
Alexandre Gramfort
J. King
101
72
0
02 Mar 2021
Inductive biases, pretraining and fine-tuning jointly account for brain
  responses to speech
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech
Juliette Millet
J. King
111
33
0
25 Feb 2021
Can RNNs learn Recursive Nested Subject-Verb Agreements?
Can RNNs learn Recursive Nested Subject-Verb Agreements?
Yair Lakretz
T. Desbordes
J. King
Benoît Crabbé
Maxime Oquab
S. Dehaene
173
19
0
06 Jan 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
100
490
0
02 Jan 2021
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
133
173
0
22 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
288
5,837
0
20 Jun 2020
Untangling in Invariant Speech Recognition
Untangling in Invariant Speech Recognition
Cory Stephenson
J. Feather
Suchismita Padhy
Oguz H. Elibol
Hanlin Tang
Josh H. McDermott
SueYeon Chung
SSL
71
31
0
03 Mar 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
91
1,614
0
13 Dec 2019
Inducing brain-relevant bias in natural language processing models
Inducing brain-relevant bias in natural language processing models
Dan Schwartz
Mariya Toneva
Leila Wehbe
51
80
0
29 Oct 2019
Interpreting and improving natural-language processing (in machines)
  with natural language-processing (in the brain)
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva
Leila Wehbe
MILMAI4CE
77
229
0
28 May 2019
Cognitive Science in the era of Artificial Intelligence: A roadmap for
  reverse-engineering the infant language-learner
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner
Emmanuel Dupoux
66
158
0
29 Jul 2016
Bridging LSTM Architecture and the Neural Dynamics during Reading
Bridging LSTM Architecture and the Neural Dynamics during Reading
Peng Qian
Xipeng Qiu
Xuanjing Huang
39
19
0
22 Apr 2016
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
137
2,974
0
08 Dec 2015
Machine Learning for Neuroimaging with Scikit-Learn
Machine Learning for Neuroimaging with Scikit-Learn
Alexandre Abraham
Fabian Pedregosa
Michael Eickenberg
Philippe Gervais
A. Mueller
Jean Kossaifi
Alexandre Gramfort
Bertrand Thirion
Gaël Varoquaux
AI4CE
66
1,821
0
12 Dec 2014
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