TY - GEN
T1 - Geometrically Constrained TRINICON-based relative transfer function estimation in underdetermined scenarios
AU - Reindl, Klaus
AU - Markovich-Golan, Shmulik
AU - Barfuss, Hendrik
AU - Gannot, Sharon
AU - Kellermann, Walter
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Blind source separation (BSS)
KW - generalized sidelobe canceller (GSC)
KW - linearly-constrained minimum variance (LCMV)
KW - relative transfer function estimation
UR - http://www.scopus.com/inward/record.url?scp=84893553948&partnerID=8YFLogxK
U2 - 10.1109/waspaa.2013.6701822
DO - 10.1109/waspaa.2013.6701822
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AN - SCOPUS:84893553948
SN - 9781479909728
T3 - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
BT - 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013
T2 - 2013 14th IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013
Y2 - 20 October 2013 through 23 October 2013
ER -