HRTF-based robust least-squares frequency-invariant beamforming

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...

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Bibliographic Details
Published in2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) pp. 1 - 5
Main Authors Barfuss, Hendrik, Huemmer, Christian, Lamani, Gleni, Schwarz, Andreas, Kellermann, Walter
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2015
Subjects
Array signal processing
Arrays
Microphones
Optimization
robot audition
Robot sensing systems
robust superdirective beam-forming
Robustness
signal enhancement
Spatial filtering
white noise gain
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Summary: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.
DOI:10.1109/WASPAA.2015.7336933