Ricard Marxer

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Jon P Barkercomputer science, university of sheffieldVerified email at sheffield.ac.uk
Shinji WatanabeCarnegie Mellon UniversityVerified email at cmu.edu
Emmanuel VincentSenior Research Scientist, InriaVerified email at inria.fr
Hendrik PurwinsData Science Lead, Accenture Technology, Germany, Switzerland, AustriaVerified email at accenture.com
Jordi JanerMusic Technology Group, Universitat Pompeu FabraVerified email at upf.edu
Perfecto Herrera BoyerMusic Technology Group, Universitat Pompeu FabraVerified email at upf.edu
Phil GreenProfessor of Computer Science, University of SheffieldVerified email at dcs.shef.ac.uk
Heidi ChristensenUniversity of SheffieldVerified email at sheffield.ac.uk
Xavier SerraDepartment of Information and Communication Technologies, Universitat Pompeu Fabra (UPF), BarcelonaVerified email at upf.edu
JORDI BONADA SANJAUMEMusic Technology Group - Universitat Pompeu FabraVerified email at upf.edu
Aditya Arie NugrahaRIKENVerified email at postman.riken.jp
Prof Amir HussainSchool of Computing, Edinburgh Napier University, Scotland, UKVerified email at napier.ac.uk
Frank RudziczUniversity of Toronto, Department of Computer Science; Vector Institute for Artificial IntelligenceVerified email at cs.toronto.edu
Maarten GrachtenIndependent Machine Learning ConsultantVerified email at grachten.eu
Roger K. MooreProfessor of Spoken Language Processing, Sheffield UniversityVerified email at sheffield.ac.uk
Juan J. BoschSpotifyVerified email at spotify.com
Emilia GómezJoint Research Centre, European Commission and Music Technology Group, Universitat Pompeu FabraVerified email at upf.edu
Serge ThillDonders Institute for Brain, Cognition, and Behaviour, Radboud UniversityVerified email at donders.ru.nl
Lorenzo DesideriCentre for Assistive Technology - BolognaVerified email at ausilioteca.org
Massimiliano MalavasiRegional Centre for Assistive TechnologyVerified email at ausilioteca.org

Ricard Marxer

Université de Toulon, Aix Marseille Univ, CNRS, LIS

Verified email at univ-tln.fr - Homepage

machine learning speech processing signal processing source separation robotics


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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	634	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	345	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	102	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	53*	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	47	2018
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	42	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	41	2015
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	37	2018
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	34	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	31	2008
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	30	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	28	2015
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	25	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	25*	2016
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	23	2012
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	21	2020
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	19	2009
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	19	2007
Aligned contrastive predictive coding J Chorowski, G Ciesielski, J Dzikowski, A Łańcucki, R Marxer, M Opala, ... arXiv preprint arXiv:2104.11946, 2021	17	2021
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	17	2012

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