Neural Networks Applied to Sound Localization Detection

Kostek B, Krolikowski R, Czyzewski A. Neural Networks Applied to Sound Localization Detection. In: AES Convention 110. Audio Engineering Society; 2001. Paper 5375. Available from: https://aes.org/publications/elibrary-page/?id=9961

@inproceedings{Kostek2001_9961,
  author = {Kostek, Bozena and Krolikowski, Rafal and Czyzewski, Andrzej},
  title = {{Neural Networks Applied to Sound Localization Detection}},
  booktitle = {AES Convention 110},
  note = {Paper 5375},
  year = {2001},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=9961}
}

TY  - CPAPER
TI  - Neural Networks Applied to Sound Localization Detection
AU  - Kostek, Bozena
AU  - Krolikowski, Rafal
AU  - Czyzewski, Andrzej
T2  - AES Convention 110
M1  - Paper 5375
PY  - 2001
DA  - 2001/05/06
UR  - https://aes.org/publications/elibrary-page/?id=9961
PB  - Audio Engineering Society
LA  - en
AB  - The primary aim of this paper is to show that it is possible to localize the direction of the incoming acoustical signal based on the neural network trained for that purpose. Consequently, the automatically localized acoustical signal may be attenuated if it obscures the desired target sound. A set of parameters was formulated in order to localize target source and unwanted signals. In order to process acoustical signals incoming from various directions at the same time the neural network-based system was designed and implemented. The feature extraction method is thoroughly discussed, the training process is described and recently obtained results are discussed.
ER  -