Publication detail

Speech Enhancement Based on Nonlinear Spectral Subtraction.

PORUBA, J.

Original Title

Speech Enhancement Based on Nonlinear Spectral Subtraction.

Type

conference paper

Language

English

Original Abstract

The spectral subtraction method is the most suitable technique for the elimination of stationary noise from degraded speech signal. In the following paragraphs the basic principles of nonlinear spectral subtraction are described, which optimize the subtractive factor in dependence on input-degraded speech signal. In this way the undesirable musical noise remainder can be suppressed, which arises after spectral subtraction. The results obtained are computed by the standard spectral subtraction method.

Keywords

single channel, subtractive-type algorithms, speech detection, noise reduction

Authors

PORUBA, J.

RIV year

2002

Released

1. 1. 2002

Location

Aruba

ISBN

0-7803-7381-2

Book

Proceedings of 2002 Fourth IEEE International Caracas Conference on Devices, Circuits and Systems

Pages from

T031-1

Pages count

4