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Repeat after me: Self-supervised learning of acoustic-to-articulatory
  mapping by vocal imitation

Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
5 April 2022
Marc-Antoine Georges
Julien Diard
Laurent Girin
J. Schwartz
Thomas Hueber
ArXiv (abs)PDFHTMLGithub

Papers citing "Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation"

4 / 4 papers shown
Developmental Predictive Coding Model for Early Infancy Mono and
  Bilingual Vocal Continual Learning
Developmental Predictive Coding Model for Early Infancy Mono and Bilingual Vocal Continual LearningInternational Conference on Artificial Neural Networks (ICANN), 2024
Xiaodan Chen
Alexandre Pitti
M. Quoy
Nancy F Chen
CLL
290
2
0
23 Dec 2024
Simulating Articulatory Trajectories with Phonological Feature
  Interpolation
Simulating Articulatory Trajectories with Phonological Feature InterpolationInterspeech (Interspeech), 2024
Angelo Ortiz Tandazo
Thomas Schatz
Thomas Hueber
Emmanuel Dupoux
197
0
0
08 Aug 2024
Learning to Compute the Articulatory Representations of Speech with the
  MIRRORNET
Learning to Compute the Articulatory Representations of Speech with the MIRRORNETInterspeech (Interspeech), 2022
Yashish M. Siriwardena
C. Espy-Wilson
S. Shamma
404
7
0
29 Oct 2022
Self-supervised speech unit discovery from articulatory and acoustic
  features using VQ-VAE
Self-supervised speech unit discovery from articulatory and acoustic features using VQ-VAEInterspeech (Interspeech), 2022
Marc-Antoine Georges
J. Schwartz
Thomas Hueber
SSL
228
5
0
17 Jun 2022
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