Ricard Marxer
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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
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
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 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
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
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
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
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
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
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
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
Separation of unvoiced fricatives in singing voice mixtures with semi-supervised NMF
J Janer, R Marxer
Proc. 16th Int. Conf. Digital Audio Effects, 2-5, 2013
Music classification using high-level models
N Wack, C Laurier, O Meyers, R Marxer, D Bogdanov, J Serra, E Gómez, ...
Music Information Retrieval Evaluation Exchange (MIREX’10), 2010
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
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