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Detail publikace
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
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" }