Multichannel Direction-Independent Speech Enhancement using Spectral Amplitude Estimation

Authors:

Lotter, T. ,  Benien, C. ,  Vary, P.

Journal:

(EURASIP ASP)

Page(s):

1147-1157

Date:

Sep. 2003

Note:

Special Issue on Signal Processing for Acoustic Communication Systems

Language:

English

Abstract

This paper introduces two short-time spectral amplitude estimators for speech enhancement with multiple microphones. Based on joint Gaussian models of speech and noise Fourier coefficients, the clean speech amplitudes are estimated with respect to the MMSE or the MAP criterion. The estimators outperform single microphone minimum mean square amplitude estimators when the speech components are highly correlated and the noise components are sufficiently uncorrelated. Whereas the first MMSE estimator also requires knowledge of the direction of arrival, the second MAP estimator performs a direction-independent noise reduction. The estimators are generalizations of the well-known single channel MMSE estimator derived by Ephraim and Malah (1984) and the MAP estimator derived by Wolfe and Godsill (2001), respectively.

Download

BibTeX

Copyright © by IKS
lotter03c.pdf

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

---