A. Czyzewski, R. Krolikowski, and B. Kostek, “Encoding Spatial Information for Advanced Teleconferencing,” in Proc. AES Conference: 19th International Conference: Surround Sound - Techniques, Technology, and Perception, Jun. 2001, Paper 1890. [Online]. Available: https://aes.org/publications/elibrary-page/?id=10099
Czyzewski A, Krolikowski R, Kostek B. Encoding Spatial Information for Advanced Teleconferencing. In: AES Conference: 19th International Conference: Surround Sound - Techniques, Technology, and Perception. Audio Engineering Society; 2001. Paper 1890. Available from: https://aes.org/publications/elibrary-page/?id=10099
@inproceedings{Czyzewski2001_10099,
author = {Czyzewski, Andrzej and Krolikowski, Rafal and Kostek, Bozena},
title = {{Encoding Spatial Information for Advanced Teleconferencing}},
booktitle = {AES Conference: 19th International Conference: Surround Sound - Techniques, Technology, and Perception},
note = {Paper 1890},
year = {2001},
month = jun,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=10099}
}
TY - CPAPER
TI - Encoding Spatial Information for Advanced Teleconferencing
AU - Czyzewski, Andrzej
AU - Krolikowski, Rafal
AU - Kostek, Bozena
T2 - AES Conference: 19th International Conference: Surround Sound - Techniques, Technology, and Perception
M1 - Paper 1890
PY - 2001
DA - 2001/06/06
UR - https://aes.org/publications/elibrary-page/?id=10099
PB - Audio Engineering Society
LA - en
AB - 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.
ER -