HRTF-BASED ROBUST LEAST-SQUARES FREQUENCY-INVARIANT BEAMFORMING

被引：0

作者：

Barfuss, Hendrik ^{[1
]}

Huemmer, Christian ^{[1
]}

Lamani, Gleni ^{[1
]}

Schwarz, Andreas ^{[1
]}

Kellermann, Walter ^{[1
]}

机构：

[1] Univ Erlangen Nurnberg, Multimedia Commun & Signal Proc, Cauerstr 7, D-91058 Erlangen, Germany

来源：

2015 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS (WASPAA) | 2015年

关键词：

Spatial filtering; robust superdirective beam-forming; white noise gain; signal enhancement; robot audition;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this work, a Head-Related Transfer Function (HRTF)-based Robust Least-Squares Frequency-Invariant (RLSFI) beamformer design is proposed. The HRTF-based RLSFI beamformer accounts for the influence of a robot's head on the sound field. The performance of the new HRTF-based RLSFI beamformer is evaluated using signal-based measures and word error rates for an off-the-shelf speech recognizer, and is compared to the performance of the original free-field RLSFI beamformer design. The experimental results confirm the efficacy of the proposed HRTF-based beamformer design for robot audition.

引用

页数：5

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