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Titolo:
A comparison of auditory and blind separation techniques for speech segregation
Autore:
van der Kouwe, AJW; Wang, DL; Brown, GJ;
Indirizzi:
Massachusetts Gen Hosp, Nucl Magnet Resonance Ctr, Charlestown, MA 02129 USA Massachusetts Gen Hosp Charlestown MA USA 02129 Charlestown, MA 02129 USA
Titolo Testata:
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
fascicolo: 3, volume: 9, anno: 2001,
pagine: 189 - 195
SICI:
1063-6676(200103)9:3<189:ACOAAB>2.0.ZU;2-H
Fonte:
ISI
Lingua:
ENG
Soggetto:
INDEPENDENT COMPONENT ANALYSIS; SIGNALS;
Keywords:
auditory scene analysis; blind source separation; computational auditory scene analysis (CASA); oscillatory correlation; speech segregation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
28
Recensione:
Indirizzi per estratti:
Indirizzo: van der Kouwe, AJW Massachusetts Gen Hosp, Nucl Magnet Resonance Ctr, Charlestown, MA 02129 USA Massachusetts Gen Hosp Charlestown MA USA 02129 29 USA
Citazione:
A.J.W. van der Kouwe et al., "A comparison of auditory and blind separation techniques for speech segregation", IEEE SPEECH, 9(3), 2001, pp. 189-195

Abstract

A fundamental problem in auditory and speech processing is the segregationof speech from concurrent sounds. This problem has been a focus of study in computational auditory scene analysis (CASA), and it has also been recently investigated from the perspective of blind source separation. Using a standard corpus of voiced speech mixed with interfering sounds, we report a comparison between CASA and blind source separation techniques, which have been developed independently. Our comparison reveals that they perform well under very different conditions, A number of conclusions are drawn with respect to their relative strengths and weaknesses in speech segregation applications as well as in modeling auditory function.

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Documento generato il 16/07/20 alle ore 06:18:40