A novel psychoacoustically motivated multi-channel speech enhancement system

A. Hussain, S. Cifani, S. Squartini, F. Piazza, T.S. Durrani

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)


The ubiquitous noise reduction / speech enhancement problem has gained an increasing interest in recent years. This is due both to progress made by microphone-array systems and to the successful introduction of perceptual models. In the last decade, several methods incorporating psychoacoustic criteria in single channel speech enhancement systems have been proposed, however very few works exploit these features in the multichannel case. In this paper we present a novel psychoacoustically motivated, multichannel speech enhancement system that exploits spatial information and psychoacoustic concepts. The proposed framework offers enhanced flexibility allowing for a multitude of perceptually-based post-filtering solutions. Moreover, the system has been devised on a frame-by-frame basis to facilitate real-time implementation. Objective performance measures and informal subjective listening tests for the case of speech signals corrupted with real car and F-16 cockpit noise demonstrate enhanced performance of the proposed speech enhancement system in terms of musical residual noise reduction compared to conventional multichannel techniques.
Original languageEnglish
Title of host publicationVerbal and nonverbal communication behaviours
Subtitle of host publicationrevised selected and invited papers
EditorsAnna Esposito, Marcos Faundez-Zanuy, Eric Keller, Maria Marinaro
Place of PublicationBerlin
Number of pages9
ISBN (Print)9783540764410
Publication statusPublished - 2007
EventCOST Action 2102 International Workshop - Vietri sul Mare, Italy
Duration: 29 Mar 200731 Mar 2007

Publication series

NameLecture Notes in Artificial Intelligence (sub series of LNCS)
ISSN (Print)0302-9743


ConferenceCOST Action 2102 International Workshop
CityVietri sul Mare


  • adaptive signal processing
  • noise reduction
  • auditory properties
  • array signal processing


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