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Speech Dereverberation
Open accessAbstract
The effect of reverberation on speech is to cause it to sound distant and spectrally distorted and can also reduce intelligibility. Dereverberation is therefore an important speech enhancement process for hands-free terminals. This is a blind problem and currently an unsolved problem. This paper reviews existing ap- proaches and discuss current work on this topic in two categories - one based on processing of the LPC prediction residual and one based on a combination of blind channel estimation and channel inversion. The measurement of (de)reverberation is discussed.
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Citations
Cited by
Supervised Speech Separation Based on Deep Learning: An Overview
Wang, D., & Chen, J. (2018) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2018.2842159 · Cited by 1,524
Kinoshita, K., Delcroix, M., Gannot, S., P. Habets, E. A., Haeb-Umbach, R., Kellermann, W., Leutnant, V., Maas, R., Nakatani, T., Raj, B., et al. (2016) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/s13634-016-0306-6 · Cited by 357
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
Mysore, G. J. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2014.2379648 · Cited by 81
Ravanelli, M., & Omologo, M. (2014) · Interspeech 2014 · doi:10.21437/interspeech.2014-268 · Cited by 22
Metadata
- Authors
- Naylor, P. A., Gaubitch, N. D., & Cross, E.
- Venue
- Noise Control Engineering Journal
- Published
- 2011
- Volume
- 59
- Issue
- 2
- Pages
- 211
- ISSN
- 0736-2501 (ISSN-L)
- OpenAlex
- W2911394281
- Cited by
- 282
- References
- 0
- FWCI
- 39.99
- Type
- journal article
- Language
- en
- Open access
- green
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