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The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines
Open accessAbstract
The CHiME challenge series aims to advance far field speech recognition technology by promoting research at the interface of signal processing and automatic speech recognition. This paper presents the design and outcomes of the 3rd CHiME Challenge, which targets the performance of automatic speech recognition in a real-world, commercially-motivated scenario: a person talking to a tablet device that has been fitted with a six-channel microphone array. The paper describes the data collection, the task definition and the baseline systems for data simulation, enhancement and recognition. The paper then presents an overview of the 26 systems that were submitted to the challenge focusing on the strategies that proved to be most successful relative to the MVDR array processing and DNN acoustic modeling reference system. Challenge findings related to the role of simulated data in system training and evaluation are discussed.
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Cited by
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Amodei, D., Anubhai, R., Battenberg, E., Case, C. T., Casper, J., Catanzaro, B., Chen, J., Chrzanowski, M., Coates, A., Diamos, G., et al. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1512.02595 · Cited by 2,110
Kinoshita, K., Ochiai, T., Delcroix, M., & Nakatani, T. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp40776.2020.9053266 · Cited by 104
Adeel, A., Gogate, M., & Hussain, A. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.08.008 · Cited by 96
Passos, L. A., Papa, J. P., Del Ser, J., Hussain, A., & Adeel, A. (2023) · Information Fusion · doi:10.1016/j.inffus.2022.09.006 · Cited by 47
Improving Distortion Robustness of Self-supervised Speech Processing Tasks with Domain Adaptation
Huang, K. P., Fu, Y.-K., Zhang, Y., & Lee, H.-Y. (2022) · arXiv · doi:10.48550/arxiv.2203.16104 · Cited by 19
Metadata
- Authors
- Barker, J., Marxer, R., Vincent, E., & Watanabe, S.
- Venue
- 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
- Publisher
- IEEE
- Published
- 2015-12
- Pages
- 504-511
- OpenAlex
- W2289394825
- Cited by
- 641
- References
- 0
- FWCI
- 50.19
- Type
- conference paper
- Language
- en
- Open access
- green
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- Barker, J., Marxer, R., Vincent, E., & Watanabe, S. (2015). The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines. 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU). https://doi.org/10.1109/asru.2015.7404837
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