Efficient Musical Noise Suppression for Speech Enhancement Systems

Authors:

Esch, T. ,  Vary, P.

Book Title:

Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Organization:

IEEE

Pages:

p.p. 4409-4412

Address:

Taipei, Taiwan

Date:

Apr. 2009

ISBN:

978-1-42442-354-5

Language:

English

Abstract

Noise reduction techniques that are relying on spectral weighting rules often generate annoying musical noise artifacts in the processed signal. In this paper, we present a postfilter (PF) for the spectral weighting gains that is capable of reducing musical noise in a simple but efficient way. It includes a robust detector for speech pauses and low SNR conditions and adaptively smoothes the weighting gains over frequency based on soft-decisions. Objective and subjective measurements show consistent improvements if the postfilter is applied to conventional noise reduction techniques.

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