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System identification and dereverberation of speech signals in the Single-Side-Band transform domain

Anna Oyzerman, Israel Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Single-Side-Band transform (SSB) is an important real-valued time-frequency representation, often preferred in applications involving speech signals. In this paper, the problems of system identification and dereverberation are addressed using the SSB transform. First, an analytical relation between the input and the output signals is derived in the SSB domain. Then, a system identification routine is formulated for a band-to-band approximation of that relation. Second, the dereverberation problem is addressed, using a statistical model for the acoustic impulse response (AIR) function. Exact and approximate representations of the AIR and the reverberant signal are derived directly in the SSB domain. The performance of the dereverberation algorithm is evaluated as a function of the representation complexity. Finally, the SSB and the short-time Fourier transform (STFT) representations are compared for the application of dereverberation.

Original languageEnglish
Title of host publicationProceedings of the 20th European Signal Processing Conference, EUSIPCO 2012
Pages360-364
Number of pages5
StatePublished - 2012
Event20th European Signal Processing Conference, EUSIPCO 2012 - Bucharest, Romania
Duration: 27 Aug 201231 Aug 2012

Publication series

NameEuropean Signal Processing Conference

Conference

Conference20th European Signal Processing Conference, EUSIPCO 2012
Country/TerritoryRomania
CityBucharest
Period27/08/1231/08/12

Keywords

  • Dereverberation
  • Single-Side-Band Transform
  • System Identification

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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