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The second ‘chime’ speech separation and recognition challenge: Datasets, tasks and baselines
Abstract
Distant-microphone automatic speech recognition (ASR) remains a challenging goal in everyday environments involving multiple background sources and reverberation. This paper is intended to be a reference on the 2nd `CHiME' Challenge, an initiative designed to analyze and evaluate the performance of ASR systems in a real-world domestic environment. Two separate tracks have been proposed: a small-vocabulary task with small speaker movements and a medium-vocabulary task without speaker movements. We discuss the rationale for the challenge and provide a detailed description of the datasets, tasks and baseline performance results for each track.
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Cited by
Learning Spectral Mapping for Speech Dereverberation and Denoising
Han, K., Wang, Y., Wang, D., Woods, W. S., Merks, I., & Zhang, T. (2015) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2015.2416653 · Cited by 260
Multi-Task Self-Supervised Learning for Robust Speech Recognition
Ravanelli, M., Zhong, J., Pascual, S., Swietojanski, P., Monteiro, J., Trmal, J., & Bengio, Y. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp40776.2020.9053569 · Cited by 258
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids
Fedorov, I., Stamenovic, M., Jensen, C., Yang, L.-C., Mandell, A., Gan, Y., Mattina, M., & Whatmough, P. N. (2020) · Interspeech 2020 · doi:10.21437/interspeech.2020-1864 · Cited by 116
Mysore, G. J. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2014.2379648 · Cited by 81
Vacher, M., Caffiau, S., Portet, F., Meillon, B., Roux, C., Elias, E., Lecouteux, B., & Chahuara, P. (2015) · ACM Transactions on Accessible Computing · doi:10.1145/2738047 · Cited by 73
Metadata
- Authors
- Vincent, E., Barker, J., Watanabe, S., Le Roux, J., Nesta, F., & Matassoni, M.
- Venue
- 2013 IEEE International Conference on Acoustics, Speech and Signal Processing
- Publisher
- IEEE
- Published
- 2013-05
- Pages
- 126-130
- ISSN
- 1520-6149 (ISSN-L)
- OpenAlex
- W2101045344
- Cited by
- 306
- References
- 0
- FWCI
- 22.33
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Vincent, E., Barker, J., Watanabe, S., Le Roux, J., Nesta, F., & Matassoni, M. (2013). The second ‘chime’ speech separation and recognition challenge: Datasets, tasks and baselines. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. https://doi.org/10.1109/icassp.2013.6637622
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