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Speech enhancement using a minimum mean-square error log-spectral amplitude estimator
Abstract
In this correspondence we derive a short-time spectral amplitude (STSA) estimator for speech signals which minimizes the mean-square error of the log-spectra (i.e., the original STSA and its estimator) and examine it in enhancing noisy speech. This estimator is also compared with the corresponding minimum mean-square error STSA estimator derived previously. It was found that the new estimator is very effective in enhancing the noisy speech, and it significantly improves its quality.
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Cited by
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Tian, C., Xu, Y., Li, Z., Zuo, W., Fei, L., & Liu, H. (2020) · Neural Networks · doi:10.1016/j.neunet.2019.12.024 · Cited by 688
Speech recognition in noisy environments: A survey
Gong, Y. (1995) · Speech Communication · doi:10.1016/0167-6393(94)00059-j · Cited by 635
Real Time Speech Enhancement in the Waveform Domain
Défossez, A., Synnaeve, G., & Adi, Y. (2020) · Interspeech 2020 · doi:10.21437/interspeech.2020-2409 · Cited by 537
The TORGO database of acoustic and articulatory speech from speakers with dysarthria
Rudzicz, F., Namasivayam, A. K., & Wolff, T. (2012) · Language Resources and Evaluation · doi:10.1007/s10579-011-9145-0 · Cited by 425
Adeel, A., Gogate, M., & Hussain, A. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.08.008 · Cited by 96
“contextual AV mapping), SS, and LMMSE for different SNRs are depicted in Figure 5. It can be seen that, at low SNR levels, EVWF with AV, A-only, and V-only significantly outperformed SS [32] and LMMSE [33] based speech enhancement methods. At high SNR, A-only and V-only performed comparably to SS and LMMSE methods. It…”
Method
Metadata
- Authors
- Ephraim, Y., & Malah, D.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1985-04
- Volume
- 33
- Issue
- 2
- Pages
- 443-445
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2121973264
- Cited by
- 3,723
- References
- 0
- FWCI
- 5.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Speech enhancement using a minimum mean-square error log-spectral amplitude estimator. https://app.cochat.ai/papers/10.1109/tassp.1985.1164550
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- Ephraim, Y., & Malah, D. (1985). Speech enhancement using a minimum mean-square error log-spectral amplitude estimator. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1985.1164550
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
