Geometrically Constrained TRINICON-based relative transfer function estimation in underdetermined scenarios

Klaus Reindl, Shmulik Markovich-Golan, Hendrik Barfuss, Sharon Gannot, Walter Kellermann

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

25 Scopus citations

Abstract

Speech extraction in a reverberant enclosure using a linearly-constrained minimum variance (LCMV) beamformer usually requires reliable estimates of the relative transfer functions (RTFs) of the desired source to all microphones. In this contribution, a geometrically constrained (GC)-TRINICON concept for RTF estimation is proposed. This approach is applicable in challenging multiple-speaker scenarios and in underdetermined situations, where the number of simultaneously active sources outnumbers the number of available microphone signals. As a most practically relevant and distinctive feature, this concept does not require any voice-activity-based control mechanism. It only requires coarse reference information on the target direction of arrival (DoA). The proposed GC-TRINICON method is compared to a recently proposed subspace method for RTF estimation relying on voice-activity control. Experimental results confirm the effectiveness of GC-TRINICON in realistic conditions.

Original languageEnglish
Title of host publication2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013
DOIs
StatePublished - 2013
Event2013 14th IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013 - New Paltz, NY, United States
Duration: 20 Oct 201323 Oct 2013

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Conference

Conference2013 14th IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013
Country/TerritoryUnited States
CityNew Paltz, NY
Period20/10/1323/10/13

Keywords

  • Blind source separation (BSS)
  • generalized sidelobe canceller (GSC)
  • linearly-constrained minimum variance (LCMV)
  • relative transfer function estimation

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