The aim of this paper is to show a system that enables automatic identification of a sound source position in noisy acoustical conditions with a considerable accuracy. Automatic detection of sound source in such an acoustical environment is much needed in advanced teleconferencing. The approach shown in the paper is based on Artificial Neural Networks (ANNs) used for automatic sound localization. Both standard feed-forward ANNs and Recurrent Neural Networks (RNNs) are employed for that purpose. Comparison of the results obtained, based on both types of ANNs, is also given. Conclusions are derived and shown.

Authors: Czyzewski, Andrzej; Krolikowski, Rafal; Kostek, Bozena
Affiliation: Sound & Vision Engineering Department, Technical University of Gdansk, Gdansk, Poland
AES Conference: 19th International Conference: Surround Sound - Techniques, Technology, and Perception (June 2001)
Paper Number: 1890
Publication Date: June 1, 2001 Import into BibTeX
Subject: Surround Sound
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=10099

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