Adaptive β-order MMSE estimation for speech enhancement

Author

You, Changhuai ; Koh, SooNgee ; Rahardja, Susanto

Author_Institution

Inst. for Infocomm Res., Singapore, Singapore

Volume

1

fYear

2003

fDate

6-10 April 2003

Abstract

This paper introduces an adaptive β-order minimum mean square error (MMSE) spectral estimator for the short time spectral amplitude (STSA) of speech. The characteristic of β-order MMSE attenuation function is introduced and analyzed. The performance of the proposed adaptive β-order MMSE has been thoroughly examined by a large number of computer simulations. The new proposed scheme has been found to outperform the conventional a priori SNR Wiener filtering, the Ephraim and Malah (1984) STSA-MMSE and log spectral amplitude (LSA) schemes. It can achieve a more significant noise reduction and a better spectral estimation for weak speech components from a noisy speech signal as compared to the conventional schemes.

Keywords

Gaussian distribution; Wiener filters; adaptive estimation; filtering theory; least mean squares methods; noise; parameter estimation; spectral analysis; speech enhancement; β-order MMSE attenuation function; EM noise suppression method; Gaussian distribution; MMSE spectral estimator; STSA-MMSE; a priori SNR Wiener filtering; adaptive β-order MMSE estimation; computer simulations; log spectral amplitude; minimum mean square error spectral estimator; musical tones; noise reduction; noisy speech signal; residual signal; speech enhancement; speech short time spectral amplitude; weak speech components; Additive noise; Amplitude estimation; Cost function; Delay estimation; Gaussian noise; Noise level; Nonlinear equations; Signal analysis; Signal to noise ratio; Speech enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1198927

Filename

1198927