Binaural Auditory Feature Classification for Stereo Image Evaluation in Listening Rooms

Kamaris G, Karlos S, Fazakis N, Terpinas S, Mourjopoulos J. Binaural Auditory Feature Classification for Stereo Image Evaluation in Listening Rooms. In: AES Convention 140. Audio Engineering Society; 2016. Paper 269. Available from: https://aes.org/publications/elibrary-page/?id=18173

@inproceedings{Kamaris2016_18173,
  author = {Kamaris, Gavriil and Karlos, Stamatis and Fazakis, Nikos and Terpinas, Stergios and Mourjopoulos, John},
  title = {{Binaural Auditory Feature Classification for Stereo Image Evaluation in Listening Rooms}},
  booktitle = {AES Convention 140},
  note = {Paper 269},
  year = {2016},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18173}
}

TY  - CPAPER
TI  - Binaural Auditory Feature Classification for Stereo Image Evaluation in Listening Rooms
AU  - Kamaris, Gavriil
AU  - Karlos, Stamatis
AU  - Fazakis, Nikos
AU  - Terpinas, Stergios
AU  - Mourjopoulos, John
T2  - AES Convention 140
M1  - Paper 269
PY  - 2016
DA  - 2016/05/06
UR  - https://aes.org/publications/elibrary-page/?id=18173
PB  - Audio Engineering Society
LA  - en
AB  - Two aspects of stereo imaging accuracy from audio system listening have been investigated: (i) panned phantom image localization accuracy at 5-degree and (ii) sweet spot spatial spread from the ideal anechoic reference. The simulated study used loudspeakers of different directivity under ideal anechoic or realistic varying reverberant room conditions and extracted binaural auditory features (ILDs, ITDs, and ICs) from the received audio signals. For evaluation, a Decision Tree classifier was used under a sparse data self-training achieving localization accuracy ranging from 92% (for ideal anechoic when training/test data were similar audio category), down to 55% (for high reverberation when training/test data were different music segments).Sweet spot accuracy was defined and evaluated as a spatial spread statistical distribution function.
ER  -