Local Relative Transfer Function for Sound Source Localization

Xiaofei Li 1 Radu Horaud 1 Laurent Girin 2, 1 Sharon Gannot 3, 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
2 GIPSA-CRISSP - CRISSP
GIPSA-DPC - Département Parole et Cognition
Abstract : The relative transfer function (RTF), i.e. the ratio of acoustic transfer functions between two sensors, can be used for sound source localization / beamforming based on a microphone array. The RTF is usually defined with respect to a unique reference sensor. Choosing the reference sensor may be a difficult task, especially for dynamic acoustic environment and setup. In this paper we propose to use a locally normalized RTF, in short local-RTF, as an acoustic feature to characterize the source direction. Local-RTF takes a neighbor sensor as the reference channel for a given sensor. The estimated local-RTF vector can thus avoid the bad effects of a noisy unique reference and have smaller estimation error than conventional RTF estimators. We propose two estimators for the local-RTF and concatenate the values across sensors and frequencies to form a high-dimensional vector which is utilized for source localization. Experiments with real-world signals show the interest of this approach.
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Communication dans un congrès
23rd European Signal Processing Conference (EUSIPCO-2015), Aug 2015, Nice, France. IEEE, pp.399-403, 〈http://www.eusipco2015.org/〉. 〈10.1109/EUSIPCO.2015.7362413〉
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Xiaofei Li, Radu Horaud, Laurent Girin, Sharon Gannot. Local Relative Transfer Function for Sound Source Localization. 23rd European Signal Processing Conference (EUSIPCO-2015), Aug 2015, Nice, France. IEEE, pp.399-403, 〈http://www.eusipco2015.org/〉. 〈10.1109/EUSIPCO.2015.7362413〉. 〈hal-01163675〉

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