Detail publikace

Speech Enhancement Based on Nonlinear Spectral Subtraction.

PORUBA, J.

Originální název

Speech Enhancement Based on Nonlinear Spectral Subtraction.

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

PORUBA, J.

Rok RIV

2002

Vydáno

1. 1. 2002

Místo

Aruba

ISBN

0-7803-7381-2

Kniha

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

Strany od

T031-1

Strany počet

4