Single Channel Speech Enhancement Using MMSE Estimation of Short-Time Modulation Magnitude Spectrum
نویسندگان
چکیده
In this paper we investigate the enhancement of speech by applying MMSE short-time spectral magnitude estimation in the modulation domain. For this purpose, the traditional analysismodification-synthesis framework is extended to include modulation domain processing. We compensate the noisy modulation spectrum for additive noise distortion by applying the MMSE short-time spectral magnitude estimation algorithm in the modulation domain. Subjective experiments were conducted to compare the quality of stimuli processed by the MMSE modulation magnitude estimator to those processed using the MMSE acoustic magnitude estimator and the modulation spectral subtraction method. The proposed method is shown to have better noise suppression than MMSE acoustic magnitude estimation, and improved speech quality compared to modulation domain spectral subtraction.
منابع مشابه
Speech enhancement using a minimum mean-square error short-time spectral modulation magnitude estimator
In this paper we investigate the enhancement of speech by applying MMSE short-time spectral magnitude estimation in the modulation domain. For this purpose, the traditional analysis-modification-synthesis framework is extended to include modulation domain processing. We compensate the noisy modulation spectrum for additive noise distortion by applying the MMSE short-time spectral magnitude esti...
متن کاملSpeech enhancement using STFT of real and imaginary parts of modulation signals
This paper investigates an alternate modulation (RImodulation) AMS-based framework for speech enhancement, in which real and imaginary parts of the modulation signal are processed in secondary AMS procedures. We propose to apply MMSE magnitude estimation in this framework, and using subjective experiments, show that MMSE RI-modulation magnitude estimation produces stimuli which is preferred by ...
متن کاملSingle-channel speech enhancement using spectral subtraction in the short-time modulation domain
In this paper we investigate the modulation domain as an alternative to the acoustic domain for speech enhancement. More specifically, we wish to determine how competitive the modulation domain is for spectral subtraction as compared to the acoustic domain. For this purpose, we extend the traditional analysis-modification-synthesis framework to include modulation domain processing. We then comp...
متن کاملUsing STFT real and imaginary parts of modulation signals for MMSE-based speech enhancement
In this paper we investigate an alternate, RI-modulation (R = real, I = imaginary) AMS framework for speech enhancement, in which the real and imaginary parts of the modulation signal are processed in secondary AMS procedures. This framework offers theoretical advantages over the previously proposed modulation AMS frameworks in that noise is additive in the modulation signal and noisy acoustic ...
متن کاملSingle-channel speech enhancement using kalman filtering in the modulation domain
In this paper, we propose the modulation-domain Kalman filter (MDKF) for speech enhancement. In contrast to previous modulation domain-enhancement methods based on bandpass filtering, the MDKF is an adaptive and linear MMSE estimator that uses models of the temporal changes of the magnitude spectrum for both speech and noise. Also, because the Kalman filter is a joint magnitude and phase spectr...
متن کامل