@inproceedings{151b8028445f4a23873f4f5f2cceac34,
title = "Local relative transfer function for sound source localization",
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.",
keywords = "microphone array, relative transfer function, sound source localization",
author = "Xiaofei Li and Radu Horaud and Laurent Girin and Sharon Gannot",
note = "Publisher Copyright: {\textcopyright} 2015 EURASIP.; 23rd European Signal Processing Conference, EUSIPCO 2015 ; Conference date: 31-08-2015 Through 04-09-2015",
year = "2015",
month = dec,
day = "22",
doi = "10.1109/EUSIPCO.2015.7362413",
language = "الإنجليزيّة",
series = "2015 23rd European Signal Processing Conference, EUSIPCO 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "399--403",
booktitle = "2015 23rd European Signal Processing Conference, EUSIPCO 2015",
address = "الولايات المتّحدة",
}