Detail publikace

Single-Channel Noise Suppression by Wavelets in Spectral Domain

SMÉKAL, Z. SYSEL, P.

Originální název

Single-Channel Noise Suppression by Wavelets in Spectral Domain

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

The paper describes the design of a new single-channel method for speech enhancement that employs the wavelet transform. Signal decomposition is currently performed in the time domain while noise is removed on individual decomposition levels using thresholding techniques. Here the wavelet transform is applied in the spectral domain. Used as the basis is the method of spectral subtraction, which is suitable for real-time implementation because of its simplicity. The greatest problem in the spectral subtraction method is a trustworthy noise estimate, in particular when non-stationary noise is concerned. Using the wavelet transform we can achieve a more accurate power spectral density also of noise that is non-stationary. Listening tests and SNR measurements yield satisfactory results in comparison with earlier reported experience.

Klíčová slova

Single-channel Speech Enhancement, Power Spectral Density, Wavelet Transform Thresholding

Autoři

SMÉKAL, Z.; SYSEL, P.

Rok RIV

2007

Vydáno

8. 10. 2007

Nakladatel

Springer

Místo

Vietri sul Mare, Italy

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Ročník

4775

Stát

Spolková republika Německo

Strany od

150

Strany do

164

Strany počet

15

BibTex

@article{BUT47276,
  author="Zdeněk {Smékal} and Petr {Sysel}",
  title="Single-Channel Noise Suppression by Wavelets in Spectral Domain",
  journal="Lecture Notes in Computer Science",
  year="2007",
  volume="4775",
  pages="150--164",
  issn="0302-9743"
}