Modeling Sound Source Localization under the Precedence Effect Using Multivariate Gaussian Mixtures

Hacihabiboglu H. Modeling Sound Source Localization under the Precedence Effect Using Multivariate Gaussian Mixtures. In: AES Convention 115. Audio Engineering Society; 2003. Paper 5976. Available from: https://aes.org/publications/elibrary-page/?id=12396

@inproceedings{Hacihabiboglu2003_12396,
  author = {Hacihabiboglu, Huseyin},
  title = {{Modeling Sound Source Localization under the Precedence Effect Using Multivariate Gaussian Mixtures}},
  booktitle = {AES Convention 115},
  note = {Paper 5976},
  year = {2003},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12396}
}

TY  - CPAPER
TI  - Modeling Sound Source Localization under the Precedence Effect Using Multivariate Gaussian Mixtures
AU  - Hacihabiboglu, Huseyin
T2  - AES Convention 115
M1  - Paper 5976
PY  - 2003
DA  - 2003/10/06
UR  - https://aes.org/publications/elibrary-page/?id=12396
PB  - Audio Engineering Society
LA  - en
AB  - The precedence effect refers to the property of the human auditory system that enables accurate localization of sound sources where many interfering echoes of the original signal are also present. Perception of the elevation, azimuth, and distance of sound sources are affected in the presence of an echo. The multivariate Gaussian mixture model proposed in this paper combines azimuth, elevation and distance perception, and provides a general framework for modeling sound source localization under the precedence effect. The model interprets the precedence effect as a spatial property rather than a temporal one.
ER  -