Localization of sound sources with known statistics in the presence of interferers
Kainan Chen, Jürgen T. Geiger, Karim Helwani, Mohammad Javad Taghizadeh
Abstract
Methods are available for simultaneous localization of multiple (unknown) audio sources using microphone arrays. Typical algorithms aim at localizing all active sources. They moreover require that the number of sources is known and is less than or equal the number of microphones. This constraint cannot be satisfied in many reallife situations and noisy environments. We present an algorithm for localizing an audio source with known statistics in a multi-source environment. The proposed method circumvents the mentioned problems by using a phase-preserving signal extraction method on the input signal. A binary mask is estimated and used to retain only the information of the target source in the original microphone signals. The masked signals are fed to a modified version of a conventional localization algorithm, which now localizes only the target source. Experimental results obtained from real recordings show that the proposed method can successfully detect and localize the target source.
BibTeX
@inproceedings{icassp2016_localizationofso,
title = {Localization of sound sources with known statistics in the presence of interferers},
author = {Kainan Chen and Jürgen T. Geiger and Karim Helwani and Mohammad Javad Taghizadeh},
booktitle = {ICASSP 2016},
year = {2016}
}