Detail publikace

Undertermined Blind Source Separation Using Linear Separation System

SMÉKAL, Z. ČERMÁK, J.

Originální název

Undertermined Blind Source Separation Using Linear Separation System

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

In automatic speech recognition and speech modal analysis, good quality of input speech signal is often required. The hit rate of recognizers is lowered by degradation of speech quality due to the noise. Blind source separation can be used to enhance the speech signal as a part of preprocessing techniques. This paper presents a multi channel linear blind source separation method that can be applied even in underdetermined case (UDC) i.e. when the number of source signals is higher than the number of sensors. The experiments show that our system outperforms conventional time-frequency binary masking (TFBM) in both determined and underdetermined cases.

Klíčová slova

Array signal processing, beamforming, blind source separation, speech processing, time-frequency binary masking.

Autoři

SMÉKAL, Z.; ČERMÁK, J.

Rok RIV

2009

Vydáno

6. 3. 2009

Nakladatel

Springer Verlag

Místo

Berlin

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Ročník

2009

Číslo

5398

Stát

Spolková republika Německo

Strany od

300

Strany do

305

Strany počet

5

BibTex

@article{BUT47335,
  author="Zdeněk {Smékal} and Jan {Čermák}",
  title="Undertermined Blind Source Separation Using Linear Separation System",
  journal="Lecture Notes in Computer Science",
  year="2009",
  volume="2009",
  number="5398",
  pages="300--305",
  issn="0302-9743"
}