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 ...
In this paper our aim is to investigate the properties of the modulation domain and more specificall...
This paper evaluates speech enhancement by filtering in the modulation frequency domain, as an alte...
[[abstract]]In this article, we present an effective compensation scheme to improve noise robustness...
In this paper we investigate the modulation domain as an alter-native to the acoustic domain for spe...
The goal of a speech enhancement algorithm is to reduce or eliminate background noise without distor...
In this paper, we propose a minimum mean square error spectral estimator for clean speech spectral a...
ABSTRACT the second part, we recall the different estimates of the filter parameters that are usuall...
In this paper an MMSE estimator of the complex shorttime spectrum is considered for optimum noise re...
This thesis is focused on speech enhancement techniques based on short-time spectral amplitude (STSA...
We present a modulation-domain speech enhancement algo-rithm based on a subspace method. We demonstr...
A comprehensive linear minimum mean squared error (LMMSE) approach for parametric speech enhancemen...
This paper presents an algorithm for modulation-domain speech enhancement using a Kalman filter. The...
The goal of the work described in this paper is to develop and evaluate procedures for automatic est...
Two approaches for modulation spectrum equalization are proposed for robust feature extraction in sp...
Abstract—This report addresses the problem of speech enhancement employing the Minimum Mean-Square E...
In this paper our aim is to investigate the properties of the modulation domain and more specificall...
This paper evaluates speech enhancement by filtering in the modulation frequency domain, as an alte...
[[abstract]]In this article, we present an effective compensation scheme to improve noise robustness...
In this paper we investigate the modulation domain as an alter-native to the acoustic domain for spe...
The goal of a speech enhancement algorithm is to reduce or eliminate background noise without distor...
In this paper, we propose a minimum mean square error spectral estimator for clean speech spectral a...
ABSTRACT the second part, we recall the different estimates of the filter parameters that are usuall...
In this paper an MMSE estimator of the complex shorttime spectrum is considered for optimum noise re...
This thesis is focused on speech enhancement techniques based on short-time spectral amplitude (STSA...
We present a modulation-domain speech enhancement algo-rithm based on a subspace method. We demonstr...
A comprehensive linear minimum mean squared error (LMMSE) approach for parametric speech enhancemen...
This paper presents an algorithm for modulation-domain speech enhancement using a Kalman filter. The...
The goal of the work described in this paper is to develop and evaluate procedures for automatic est...
Two approaches for modulation spectrum equalization are proposed for robust feature extraction in sp...
Abstract—This report addresses the problem of speech enhancement employing the Minimum Mean-Square E...
In this paper our aim is to investigate the properties of the modulation domain and more specificall...
This paper evaluates speech enhancement by filtering in the modulation frequency domain, as an alte...
[[abstract]]In this article, we present an effective compensation scheme to improve noise robustness...