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Jon P Barker
Jon P Barker
computer science, university of sheffield
Verified email at sheffield.ac.uk - Homepage
Title
Cited by
Cited by
Year
An audio-visual corpus for speech perception and automatic speech recognition
M Cooke, J Barker, S Cunningham, X Shao
The Journal of the Acoustical Society of America 120 (5), 2421-2424, 2006
10572006
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
5872015
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
3212017
The fifth'CHiME'speech separation and recognition challenge: dataset, task and baselines
J Barker, S Watanabe, E Vincent, J Trmal
arXiv preprint arXiv:1803.10609, 2018
2832018
The foreign language cocktail party problem: Energetic and informational masking effects in non-native speech perception
M Cooke, ML Garcia Lecumberri, J Barker
The Journal of the Acoustical Society of America 123 (1), 414-427, 2008
2622008
The PASCAL CHiME speech separation and recognition challenge
J Barker, E Vincent, N Ma, H Christensen, P Green
Computer Speech & Language 27 (3), 621-633, 2013
2612013
The second ‘CHiME’speech separation and recognition challenge: Datasets, tasks and baselines
E Vincent, J Barker, S Watanabe, J Le Roux, F Nesta, M Matassoni
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
2382013
Decoding speech in the presence of other sources
JP Barker, MP Cooke, DPW Ellis
speech communication 45 (1), 5-25, 2005
1892005
Soft decisions in missing data techniques for robust automatic speech recognition.
J Barker, L Josifovski, M Cooke, PD Green
INTERSPEECH, 373-376, 2000
1802000
Robust ASR based on clean speech models: an evaluation of missing data techniques for connected digit recognition in noise.
J Barker, M Cooke, PD Green
INTERSPEECH, 213-217, 2001
1622001
CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings
S Watanabe, M Mandel, J Barker, E Vincent, A Arora, X Chang, ...
arXiv preprint arXiv:2004.09249, 2020
1522020
The CHiME corpus: a resource and a challenge for computational hearing in multisource environments
H Christensen, J Barker, N Ma, PD Green
Eleventh Annual Conference of the International Speech Communication Association, 2010
1522010
Modelling speaker intelligibility in noise
J Barker, M Cooke
Speech Communication 49 (5), 402-417, 2007
1192007
The second ‘CHiME’speech separation and recognition challenge: An overview of challenge systems and outcomes
E Vincent, J Barker, S Watanabe, J Le Roux, F Nesta, M Matassoni
2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 162-167, 2013
992013
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
952017
Techniques for handling convolutional distortion withmissing data'automatic speech recognition
KJ Palomäki, GJ Brown, JP Barker
Speech Communication 43 (1-2), 123-142, 2004
822004
Mask estimation for missing data speech recognition based on statistics of binaural interaction
S Harding, J Barker, GJ Brown
IEEE Transactions on Audio, Speech, and Language Processing 14 (1), 58-67, 2005
812005
Chime-home: A dataset for sound source recognition in a domestic environment
P Foster, S Sigtia, S Krstulovic, J Barker, MD Plumbley
2015 IEEE Workshop on Applications of Signal Processing to Audio and …, 2015
732015
Exploiting correlogram structure for robust speech recognition with multiple speech sources
N Ma, P Green, J Barker, A Coy
Speech Communication 49 (12), 874-891, 2007
732007
Is the sine-wave speech cocktail party worth attending?
J Barker, M Cooke
Speech Communication 27 (3-4), 159-174, 1999
601999
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