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A two-stage algorithm for one-microphone reverberant speech enhancement
Abstract
Under noise-free conditions, the quality of reverberant speech is dependent on two distinct perceptual components: coloration and long-term reverberation. They correspond to two physical variables: signal-to-reverberant energy ratio (SRR) and reverberation time, respectively. Inspired by this observation, we propose a two-stage reverberant speech enhancement algorithm using one microphone. In the first stage, an inverse filter is estimated to reduce coloration effects or increase SRR. The second stage employs spectral subtraction to minimize the influence of long-term reverberation. The proposed algorithm significantly improves the quality of reverberant speech. A comparison with a recent enhancement algorithm is made on a corpus of speech utterances in a number of reverberant conditions, and the results show that our algorithm performs substantially better.
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Cites
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
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
Self-citationLearning 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
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Metadata
- Authors
- Wu, M., & Wang, D.
- Venue
- IEEE Transactions on Audio, Speech and Language Processing
- Published
- 2006-05
- Volume
- 14
- Issue
- 3
- Pages
- 774-784
- ISSN
- 1558-7916 (ISSN-L)
- OpenAlex
- W2110322414
- Cited by
- 209
- References
- 1
- FWCI
- 14.19
- Type
- journal article
- Language
- en
- Open access
- closed
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