Ricard Marxer
Ricard Marxer
Université de Toulon, Aix Marseille Univ, CNRS, LIS
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The third ‘CHiME’speech separation and recognition challenge: Dataset, task and baselines
J Barker, R Marxer, E Vincent, S Watanabe
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015
An analysis of environment, microphone and data simulation mismatches in robust speech recognition
E Vincent, S Watanabe, AA Nugraha, J Barker, R Marxer
Computer Speech & Language 46, 535-557, 2017
The third ‘CHiME’speech separation and recognition challenge: Analysis and outcomes
J Barker, R Marxer, E Vincent, S Watanabe
Computer Speech & Language 46, 605-626, 2017
A corpus of audio-visual Lombard speech with frontal and profile views
N Alghamdi, S Maddock, R Marxer, J Barker, GJ Brown
The Journal of the Acoustical Society of America 143 (6), EL523-EL529, 2018
Evaluation and combination of pitch estimation methods for melody extraction in symphonic classical music
JJ Bosch, R Marxer, E Gómez
Journal of New Music Research 45 (2), 101-117, 2016
The 4th CHiME speech separation and recognition challenge
E Vincent, S Watanabe, J Barker, R Marxer
URL: http://spandh. dcs. shef. ac. uk/chime_challenge/(last accessed on 1 …, 2016
Computational models of music perception and cognition I: The perceptual and cognitive processing chain
H Purwins, P Herrera, M Grachten, A Hazan, R Marxer, X Serra
Physics of Life Reviews 5 (3), 151-168, 2008
DNN driven speaker independent audio-visual mask estimation for speech separation
M Gogate, A Adeel, R Marxer, J Barker, A Hussain
arXiv preprint arXiv:1808.00060, 2018
Knowledge transfer between speakers for personalised dialogue management
I Casanueva, T Hain, H Christensen, R Marxer, P Green
Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015
Robust training of vector quantized bottleneck models
A Łańcucki, J Chorowski, G Sanchez, R Marxer, N Chen, HJGA Dolfing, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
The impact of the Lombard effect on audio and visual speech recognition systems
R Marxer, J Barker, N Alghamdi, S Maddock
Speech communication 100, 58-68, 2018
Automatic dysfluency detection in dysarthric speech using deep belief networks
S Oue, R Marxer, F Rudzicz
proceedings of SLPAT 2015: 6th workshop on speech and language processing …, 2015
Computational models of music perception and cognition II: Domain-specific music processing
H Purwins, M Grachten, P Herrera, A Hazan, R Marxer, X Serra
Physics of Life Reviews 5 (3), 169-182, 2008
A convolutional deep markov model for unsupervised speech representation learning
S Khurana, A Laurent, WN Hsu, J Chorowski, A Lancucki, R Marxer, ...
arXiv preprint arXiv:2006.02547, 2020
Aligned contrastive predictive coding
J Chorowski, G Ciesielski, J Dzikowski, A Łańcucki, R Marxer, M Opala, ...
arXiv preprint arXiv:2104.11946, 2021
The CHiME challenges: Robust speech recognition in everyday environments
JP Barker, R Marxer, E Vincent, S Watanabe
New era for robust speech recognition: Exploiting deep learning, 327-344, 2017
Unsupervised incremental online learning and prediction of musical audio signals
R Marxer, H Purwins
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (5), 863-874, 2016
Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words
S Cuervo, M Grabias, J Chorowski, G Ciesielski, A Łańcucki, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Low-latency instrument separation in polyphonic audio using timbre models
R Marxer, J Janer, J Bonada
Latent Variable Analysis and Signal Separation: 10th International …, 2012
DOCC10: Open access dataset of marine mammal transient studies and end-to-end CNN classification
M Ferrari, H Glotin, R Marxer, M Asch
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
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Artículos 1–20