Ikuti
Jon P Barker
Jon P Barker
computer science, university of sheffield
Email yang diverifikasi di sheffield.ac.uk - Beranda
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Dikutip oleh
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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
13872006
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
7962015
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
4412018
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
4322017
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
3632020
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
3252008
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
2872013
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
2712013
Decoding speech in the presence of other sources
JP Barker, MP Cooke, DPW Ellis
speech communication 45 (1), 5-25, 2005
1932005
Soft decisions in missing data techniques for robust automatic speech recognition.
J Barker, L Josifovski, M Cooke, PD Green
INTERSPEECH, 373-376, 2000
1782000
The CHiME corpus: A resource and a challenge for computational hearing in multisource environments.
H Christensen, J Barker, N Ma, PD Green
Interspeech, 1918-1921, 2010
1692010
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
1612001
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
1462017
Modelling speaker intelligibility in noise
J Barker, M Cooke
Speech Communication 49 (5), 402-417, 2007
1272007
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
1092015
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
1042018
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
1022013
Clarity-2021 challenges: Machine learning challenges for advancing hearing aid processing
SN Graetzer, J Barker, TJ Cox, M Akeroyd, JF Culling, G Naylor, E Porter, ...
Proceedings of the Annual Conference of the International Speech …, 2021
982021
Source domain data selection for improved transfer learning targeting dysarthric speech recognition
F Xiong, J Barker, Z Yue, H Christensen
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
892020
Phonetic analysis of dysarthric speech tempo and applications to robust personalised dysarthric speech recognition
F Xiong, J Barker, H Christensen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
862019
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