A Bayesian Framework for Sound Source Localization

Escolano J, Cobos M, Pérez-Lorenzo JM, López JJ, Xiang N. A Bayesian Framework for Sound Source Localization. In: AES Convention 132. Audio Engineering Society; 2012. Paper 8668. Available from: https://aes.org/publications/elibrary-page/?id=16306

@inproceedings{Escolano2012_16306,
  author = {Escolano, José and Cobos, Máximo and Pérez-Lorenzo, Jose M. and López, José J. and Xiang, Ning},
  title = {{A Bayesian Framework for Sound Source Localization}},
  booktitle = {AES Convention 132},
  note = {Paper 8668},
  year = {2012},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16306}
}

TY  - CPAPER
TI  - A Bayesian Framework for Sound Source Localization
AU  - Escolano, José
AU  - Cobos, Máximo
AU  - Pérez-Lorenzo, Jose M.
AU  - López, José J.
AU  - Xiang, Ning
T2  - AES Convention 132
M1  - Paper 8668
PY  - 2012
DA  - 2012/04/06
UR  - https://aes.org/publications/elibrary-page/?id=16306
PB  - Audio Engineering Society
LA  - en
AB  - The localization of sound sources, and particularly speech, has a numerous number of applications to the industry. This has motivated a continuous effort in developing robust direction-of-arrival detection algorithms. Time difference of arrival-based methods, and particularly, generalized cross-correlation approaches have been widely investigated in acoustic signal processing. Once a probability function is obtained, indicating those directions of arrival with highest probability, the vast majority of methods have to assume a certain number of sound sources in order to process the information conveniently. In this paper, a model selection based on a Bayesian framework is proposed in order to determine, in an unsupervised way, how many sound sources are estimated together with the parameters estimation. Real measurements using two microphones are used to corroborate the proposed model.
ER  -