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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
11222006
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
6342015
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
3452017
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
3122018
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
2822008
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
2692013
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
2452013
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
1892020
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
1812000
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
1632001
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
1532010
Modelling speaker intelligibility in noise
J Barker, M Cooke
Speech Communication 49 (5), 402-417, 2007
1202007
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
1022017
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
1012013
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
842005
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
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
772015
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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