| 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 | 742 | 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 | 407 | 2017 |
| 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 | 129 | 2017 |
| 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 | 86 | 2018 |
| Evaluation and combination of pitch estimation methods for melody extraction in symphonic classical music JJ Bosch, R Marxer, E Gómez Journal of New Music Research 45 (2), 101-117, 2016 | 52 | 2016 |
| Computational models of music perception and cognition I: The perceptual and cognitive processing chain H Purwins, P Herrera, M Grachten, A Hazan, R Marxer, X Serra Physics of Life Reviews 5 (3), 151-168, 2008 | 49 | 2008 |
| The 4th CHiME speech separation and recognition challenge E Vincent, S Watanabe, J Barker, R Marxer URL: http://spandh. dcs. shef. ac. uk/chime challenge {Last Accessed on 1 …, 2016 | 48 | 2016 |
| DNN driven speaker independent audio-visual mask estimation for speech separation M Gogate, A Adeel, R Marxer, J Barker, A Hussain arXiv preprint arXiv:1808.00060, 2018 | 46 | 2018 |
| Knowledge transfer between speakers for personalised dialogue management I Casanueva, T Hain, H Christensen, R Marxer, P Green Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015 | 41 | 2015 |
| The impact of the Lombard effect on audio and visual speech recognition systems R Marxer, J Barker, N Alghamdi, S Maddock Speech communication 100, 58-68, 2018 | 40 | 2018 |
| Computational models of music perception and cognition II: Domain-specific music processing H Purwins, M Grachten, P Herrera, A Hazan, R Marxer, X Serra Physics of Life Reviews 5 (3), 169-182, 2008 | 37 | 2008 |
| Robust training of vector quantized bottleneck models A Łańcucki, J Chorowski, G Sanchez, R Marxer, N Chen, HJGA Dolfing, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 36 | 2020 |
| Automatic dysfluency detection in dysarthric speech using deep belief networks S Oue, R Marxer, F Rudzicz proceedings of SLPAT 2015: 6th workshop on speech and language processing …, 2015 | 36 | 2015 |
| Unsupervised incremental online learning and prediction of musical audio signals R Marxer, H Purwins IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (5), 863-874, 2016 | 28* | 2016 |
| A convolutional deep markov model for unsupervised speech representation learning S Khurana, A Laurent, WN Hsu, J Chorowski, A Lancucki, R Marxer, ... arXiv preprint arXiv:2006.02547, 2020 | 27 | 2020 |
| The CHiME challenges: Robust speech recognition in everyday environments JP Barker, R Marxer, E Vincent, S Watanabe New era for robust speech recognition: Exploiting deep learning, 327-344, 2017 | 27 | 2017 |
| Aligned contrastive predictive coding J Chorowski, G Ciesielski, J Dzikowski, A Łańcucki, R Marxer, M Opala, ... arXiv preprint arXiv:2104.11946, 2021 | 26 | 2021 |
| Low-latency instrument separation in polyphonic audio using timbre models R Marxer, J Janer, J Bonada Latent Variable Analysis and Signal Separation: 10th International …, 2012 | 23 | 2012 |
| Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words S Cuervo, M Grabias, J Chorowski, G Ciesielski, A Łańcucki, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 21 | 2022 |
| DOCC10: Open access dataset of marine mammal transient studies and end-to-end CNN classification M Ferrari, H Glotin, R Marxer, M Asch 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 21 | 2020 |
Jon P Barkercomputer science, university of sheffield在 sheffield.ac.uk 的电子邮件经过验证
