Detail publikačního výsledku

Blind source separation using fuzzy masking

ČERMÁK, J.

Originální název

Blind source separation using fuzzy masking

Anglický název

Blind source separation using fuzzy masking

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper deals with separation of the source signals from their mixtures without any information about mixing environment. This problem is known as a blind source separation. In this paper we focus on improving a multichannel method called time-frequency binary masking. Our proposed approach is based on using a fuzzy mask instead of a binary mask. We will show that the separation performance increases by employing fuzzy mask. Moreover our method reduces the musical noise introduced by binary mask to the separated signals.

Anglický abstrakt

This paper deals with separation of the source signals from their mixtures without any information about mixing environment. This problem is known as a blind source separation. In this paper we focus on improving a multichannel method called time-frequency binary masking. Our proposed approach is based on using a fuzzy mask instead of a binary mask. We will show that the separation performance increases by employing fuzzy mask. Moreover our method reduces the musical noise introduced by binary mask to the separated signals.

Klíčová slova

speech processing, signal processing, source separation

Klíčová slova v angličtině

speech processing, signal processing, source separation

Autoři

ČERMÁK, J.

Vydáno

01.12.2007

Nakladatel

UFE AVCR

Místo

Praque

ISBN

978-80-86269-00-9

Kniha

SPEECH PROCESSING 17th Czech – German Workshop

Strany od

83

Strany do

87

Strany počet

5

BibTex

@inproceedings{BUT25567,
  author="Jan {Čermák}",
  title="Blind source separation using fuzzy masking",
  booktitle="SPEECH PROCESSING 17th Czech – German Workshop",
  year="2007",
  pages="83--87",
  publisher="UFE AVCR",
  address="Praque",
  isbn="978-80-86269-00-9"
}