| 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 | 1122 | 2006 |
| 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 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 | 312 | 2018 |
| 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 | 282 | 2008 |
| 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 | 269 | 2013 |
| 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 | 245 | 2013 |
| 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 | 189 | 2020 |
| Decoding speech in the presence of other sources JP Barker, MP Cooke, DPW Ellis speech communication 45 (1), 5-25, 2005 | 189 | 2005 |
| Soft decisions in missing data techniques for robust automatic speech recognition. J Barker, L Josifovski, M Cooke, PD Green INTERSPEECH, 373-376, 2000 | 181 | 2000 |
| 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 | 163 | 2001 |
| 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 | 153 | 2010 |
| Modelling speaker intelligibility in noise J Barker, M Cooke Speech Communication 49 (5), 402-417, 2007 | 120 | 2007 |
| 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 |
| 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 | 101 | 2013 |
| 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 | 84 | 2005 |
| Techniques for handling convolutional distortion withmissing data'automatic speech recognition KJ Palomäki, GJ Brown, JP Barker Speech Communication 43 (1-2), 123-142, 2004 | 82 | 2004 |
| 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 | 77 | 2015 |
| 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 | 73 | 2007 |
| Is the sine-wave speech cocktail party worth attending? J Barker, M Cooke Speech Communication 27 (3-4), 159-174, 1999 | 60 | 1999 |
Martin CookeProfessor, IkerbasqueVerified email at ikerbasque.org
