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- W2566812911 abstract "This paper proposes an online single-channel speech enhancement method designed to improve the quality of speech degraded by reverberation and noise. Based on an autoregressive model for the reverberation power and on a hidden Markov model for clean speech production, a Bayesian filtering formulation of the problem is derived and online joint estimation of the acoustic parameters and mean speech, reverberation, and noise powers is obtained in mel-frequency bands. From these estimates, a real-valued spectral gain is derived and spectral enhancement is applied in the short-time Fourier transform STFT domain. The method yields state-of-the-art performance and greatly reduces the effects of reverberation and noise while improving speech quality and preserving speech intelligibility in challenging acoustic environments." @default.
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- W2566812911 date "2017-03-01" @default.
- W2566812911 modified "2023-10-16" @default.
- W2566812911 title "Single-Channel Online Enhancement of Speech Corrupted by Reverberation and Noise" @default.
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- W2566812911 doi "https://doi.org/10.1109/taslp.2016.2641904" @default.
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