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The diverse environments multi-channel acoustic noise database: A database of multichannel environmental noise recordings
Abstract
Multi-microphone arrays allow for the use of spatial filtering techniques that can greatly improve noise reduction and source separation. However, for speech and audio data, work on noise reduction or separation has focused primarily on one- or two-channel systems. Because of this, databases of multichannel environmental noise are not widely available. DEMAND (Diverse Environments Multi-channel Acoustic Noise Database) addresses this problem by providing a set of 16-channel noise files recorded in a variety of indoor and outdoor settings. The data was recorded using a planar microphone array consisting of four staggered rows, with the smallest distance between microphones being 5 cm and the largest being 21.8 cm. DEMAND is freely available under a Creative Commons license to encourage research into algorithms beyond the stereo setup.
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Cited by
SEGAN: Speech Enhancement Generative Adversarial Network
Pascual, S., Bonafonte, A., & Serrà, J. (2017) · Interspeech 2017 · doi:10.21437/interspeech.2017-1428 · Cited by 1,297
SpeechBrain: A General-Purpose Speech Toolkit
Ravanelli, M., Parcollet, T., Plantinga, P., Rouhe, A., Cornell, S., Lugosch, L., Subakan, C., Dawalatabad, N., Heba, A., Zhong, J., et al. (2021) · arXiv · doi:10.48550/arxiv.2106.04624 · Cited by 512
Reddy, C. K. A., Gopal, V., Cutler, R., Beyrami, E., Cheng, R., Dubey, H., Matusevych, S., Aichner, R., Aazami, A., Braun, S., et al. (2020) · Interspeech 2020 · doi:10.21437/interspeech.2020-3038 · Cited by 363
PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network
Yin, D., Luo, C., Xiong, Z., & Zeng, W. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i05.6489 · Cited by 323
Real-Time Speech Enhancement Using Equilibriated RNN
Takeuchi, D., Yatabe, K., Koizumi, Y., Oikawa, Y., & Harada, N. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp40776.2020.9054597 · Cited by 48
Metadata
- Authors
- Thiemann, J., Ito, N., & Vincent, E.
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 2013-05-01
- Volume
- 133
- Issue
- 5_Supplement
- Pages
- 3591-3591
- ISSN
- 0001-4966 (ISSN-L)
- 1520-8524
- OpenAlex
- W1983108229
- Cited by
- 346
- References
- 0
- Type
- conference abstract
- Language
- en
- Open access
- closed
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- Thiemann, J., Ito, N., & Vincent, E. (2013). The diverse environments multi-channel acoustic noise database: A database of multichannel environmental noise recordings. The Journal of the Acoustical Society of America. https://doi.org/10.1121/1.4806631
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