A multimodal dynamical variational autoencoder for audiovisual speech representation learning-Reference-Cited by-同舟云学术

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A multimodal dynamical variational autoencoder for audiovisual speech representation learning

Published:2024-04 Issue: Volume:172 Page:106120
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Sadok Samir^ORCID,Leglaive Simon^ORCID,Girin Laurent,Alameda-Pineda Xavier^ORCID,Séguier Renaud^ORCID

Publisher

Elsevier BV

Reference73 articles.

1. Deep audio-visual speech recognition;Afouras;IEEE Transactions on Pattern Analysis and Machine Intelligence,2018

2. Influence of lips on the production of vowels based on finite element simulations and experiments;Arnela;The Journal of the Acoustical Society of America,2016

3. Multimae: Multi-modal multi-task masked autoencoders;Bachmann,2022

4. Multimodal machine learning: A survey and taxonomy;Baltrušaitis;IEEE Transactions on Pattern Analysis and Machine Intelligence,2018

5. Openface: An open source facial behavior analysis toolkit;Baltrušaitis,2016

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1. Adaptive structural enhanced representation learning for deep document clustering;Applied Intelligence;2024-09-12

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