Neural Network Approach to Analyze Spatial Sound

Palomäki K, Pulkki V, Karjalainen M. Neural Network Approach to Analyze Spatial Sound. In: AES Conference: 16th International Conference: Spatial Sound Reproduction. Audio Engineering Society; 1999. Paper 16-022. Available from: https://aes.org/publications/elibrary-page/?id=8032

@inproceedings{Palomaki1999_8032,
  author = {Palomäki, Kalle and Pulkki, Ville and Karjalainen, Matti},
  title = {{Neural Network Approach to Analyze Spatial Sound}},
  booktitle = {AES Conference: 16th International Conference: Spatial Sound Reproduction},
  note = {Paper 16-022},
  year = {1999},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=8032}
}

TY  - CPAPER
TI  - Neural Network Approach to Analyze Spatial Sound
AU  - Palomäki, Kalle
AU  - Pulkki, Ville
AU  - Karjalainen, Matti
T2  - AES Conference: 16th International Conference: Spatial Sound Reproduction
M1  - Paper 16-022
PY  - 1999
DA  - 1999/03/06
UR  - https://aes.org/publications/elibrary-page/?id=8032
PB  - Audio Engineering Society
LA  - en
AB  - Self-organizing maps (SOM) and multilayer perception (MLP) neural network approaches are applied to the evaluation of spatial discrimination of real and virtual sound sources. Neural networks are trained with localization cues computed using a binaural model. The ability of the models to simulate human perception of spatial sound is analyzed.
ER  -