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Jon P Barker
Jon P Barker
computer science, university of sheffield
Adresse e-mail validée de sheffield.ac.uk - Page d'accueil
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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
11112006
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
6262015
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
3402017
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
3092018
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
2752008
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
2662013
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
2442013
Decoding speech in the presence of other sources
JP Barker, MP Cooke, DPW Ellis
speech communication 45 (1), 5-25, 2005
1902005
Soft decisions in missing data techniques for robust automatic speech recognition.
J Barker, L Josifovski, M Cooke, PD Green
INTERSPEECH, 373-376, 2000
1812000
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
1792020
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
1032017
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
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
762015
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
742007
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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