Ricard Marxer
Cited by
Cited by
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
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
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
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
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
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
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
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
Low-latency instrument separation in polyphonic audio using timbre models
R Marxer, J Janer, J Bonada
International Conference on Latent Variable Analysis and Signal Separation …, 2012
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
The CHiME challenges: Robust speech recognition in everyday environments
JP Barker, R Marxer, E Vincent, S Watanabe
New Era for Robust Speech Recognition, 327-344, 2017
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
Dynamical hierarchical self-organization of harmonic, motivic, and pitch categories
R Marxer, P Holonowicz, H Purwins, A Hazan
Music, Brain and Cognition. Part 2, 2007
What/when causal expectation modelling applied to audio signals
A Hazan, R Marxer, P Brossier, H Purwins, P Herrera, X Serra
Connection Science 21 (2-3), 119-143, 2009
Score-informed and timbre independent lead instrument separation in real-world scenarios
JJ Bosch, K Kondo, R Marxer, J Janer
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012
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
An f-measure for evaluation of unsupervised clustering with non-determined number of clusters
R Marxer, H Purwins, A Hazan
Report of the EmCAP project (European Commission FP6-IST), 1-3, 2008
Real-time passive acoustic 3d tracking of deep diving cetacean by small non-uniform mobile surface antenna
M Poupard, M Ferrari, J Schluter, R Marxer, P Giraudet, V Barchasz, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
The system can't perform the operation now. Try again later.
Articles 1–20