Detail publikace
Musical noise reduction in time-frequency-binary-masking-based blind source separation systems
J. Čermák, S. Araki, H. Sawada, S. Makino
Originální název
Musical noise reduction in time-frequency-binary-masking-based blind source separation systems
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Blind source separation (BSS) problem consists of estimating N sources from M mixtures without using source and mixing information. In this paper we focus on improving BSS method called time-frequency binary masking (TFBM). TFBM is a versatile approach due to its ability to separate signals in both (over-)determined case (N<=M ) and underdetermined case (N>M). The cost we pay for the versatility is the musical noise which is introduced to the separated signals by the binary masking. We introduce a method, which reduces musical noise and improves separation performance in both (over-)determined and underdetermined cases.
Klíčová slova
Blind source separation, time-frequency binary masking, musical noise
Autoři
J. Čermák, S. Araki, H. Sawada, S. Makino
Rok RIV
2006
Vydáno
27. 9. 2006
Nakladatel
URE
Místo
Praque
ISBN
86269159
Kniha
16th Czech-German Workshop SPEECH PROCESSING
Strany od
45
Strany do
50
Strany počet
6
BibTex
@inproceedings{BUT24879,
author="Jan {Čermák}",
title="Musical noise reduction in time-frequency-binary-masking-based blind source separation systems",
booktitle="16th Czech-German Workshop SPEECH PROCESSING",
year="2006",
pages="6",
publisher="URE",
address="Praque",
isbn="86269159"
}