ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.00988
  4. Cited By
Audio-visual speech enhancement with a deep Kalman filter generative
  model

Audio-visual speech enhancement with a deep Kalman filter generative model

2 November 2022
A. Golmakani
M. Sadeghi
Romain Serizel
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Audio-visual speech enhancement with a deep Kalman filter generative model"

9 / 9 papers shown
Title
Diffusion-based Unsupervised Audio-visual Speech Enhancement
Diffusion-based Unsupervised Audio-visual Speech Enhancement
Jean-Eudes Ayilo
Mostafa Sadeghi
Romain Serizel
Xavier Alameda-Pineda
DiffM
83
0
0
04 Oct 2024
Expression-preserving face frontalization improves visually assisted
  speech processing
Expression-preserving face frontalization improves visually assisted speech processing
Zhiqi Kang
M. Sadeghi
Radu Horaud
Xavier Alameda-Pineda
CVBM
97
8
0
06 Apr 2022
Unsupervised Speech Enhancement using Dynamical Variational
  Auto-Encoders
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders
Xiaoyu Bie
Simon Leglaive
Xavier Alameda-Pineda
Laurent Girin
DiffM
89
55
0
23 Jun 2021
Dynamical Variational Autoencoders: A Comprehensive Review
Dynamical Variational Autoencoders: A Comprehensive Review
Laurent Girin
Simon Leglaive
Xiaoyu Bie
Julien Diard
Thomas Hueber
Xavier Alameda-Pineda
BDL
103
219
0
28 Aug 2020
Lipreading using Temporal Convolutional Networks
Lipreading using Temporal Convolutional Networks
Brais Martínez
Pingchuan Ma
Stavros Petridis
Maja Pantic
215
241
0
23 Jan 2020
Mixture of Inference Networks for VAE-based Audio-visual Speech
  Enhancement
Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement
M. Sadeghi
Xavier Alameda-Pineda
77
21
0
23 Dec 2019
A variance modeling framework based on variational autoencoders for
  speech enhancement
A variance modeling framework based on variational autoencoders for speech enhancement
Simon Leglaive
Laurent Girin
Radu Horaud
DRL
53
91
0
05 Feb 2019
SDR - half-baked or well done?
SDR - half-baked or well done?
F. Sánchez-Martínez
M. Esplà-Gomis
Hakan Erdogan
J. Hershey
165
1,205
0
06 Nov 2018
Statistical Speech Enhancement Based on Probabilistic Integration of
  Variational Autoencoder and Non-Negative Matrix Factorization
Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization
Yoshiaki Bando
Masato Mimura
Katsutoshi Itoyama
Kazuyoshi Yoshii
Tatsuya Kawahara
71
120
0
31 Oct 2017
1