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- W2013081310 abstract "We propose a novel, robust estimator for the probability of speech presence at each time-frequency point in the short-time discrete Fourier domain. While existing estimators perform quite reliably in stationary noise environments, they usually exhibit a large false-alarm rate in nonstationary noise that results in a great deal of noise leakage when applied to a speech enhancement task. The proposed estimator overcomes this problem by temporally smoothing the cepstrum of the a posteriori signal-to-noise ratio (SNR), and yields considerably less noise leakage and low speech distortions in both, stationary and nonstationary noise as compared to state-of-the-art estimators. Especially in babble noise, this results in large SNR improvements." @default.
- W2013081310 created "2016-06-24" @default.
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- W2013081310 date "2010-01-01" @default.
- W2013081310 modified "2023-09-24" @default.
- W2013081310 title "Speech presence probability estimation based on temporal cepstrum smoothing" @default.
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- W2013081310 doi "https://doi.org/10.1109/icassp.2010.5495677" @default.
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