Audio System Spatial Image Evaluation via Binaural Feature Classification

Kamaris G, Karlos S, Terpinas S, Koutsaidis D, Mourjopoulos J. Audio System Spatial Image Evaluation via Binaural Feature Classification. In: AES Convention 142. Audio Engineering Society; 2017. Paper 9761. Available from: https://aes.org/publications/elibrary-page/?id=18637

@inproceedings{Kamaris2017_18637,
  author = {Kamaris, Gavriil and Karlos, Stamatis and Terpinas, Stergios and Koutsaidis, Dimitris and Mourjopoulos, John},
  title = {{Audio System Spatial Image Evaluation via Binaural Feature Classification}},
  booktitle = {AES Convention 142},
  note = {Paper 9761},
  year = {2017},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18637}
}

TY  - CPAPER
TI  - Audio System Spatial Image Evaluation via Binaural Feature Classification
AU  - Kamaris, Gavriil
AU  - Karlos, Stamatis
AU  - Terpinas, Stergios
AU  - Koutsaidis, Dimitris
AU  - Mourjopoulos, John
T2  - AES Convention 142
M1  - Paper 9761
PY  - 2017
DA  - 2017/05/06
UR  - https://aes.org/publications/elibrary-page/?id=18637
PB  - Audio Engineering Society
LA  - en
AB  - A method for evaluating different audio systems with respect to their spatial reproduction accuracy is described based on binaural auditory feature classification. The classifier is trained to act as expert listener judging system spatial quality and achieves high accuracy for a reference ideal system under anechoic conditions. The trained classifier is then employed to assess different suboptimal reproduction setups and listening conditions. The spatial accuracy was assessed with respect to this reference with respect to the panned image, image localization accuracy, and the sweet spot area spread. For 2 channel stereo reproduction, the study used loudspeakers of different directivity under anechoic or varying reverberant room conditions. The work also assesses the relative effects of upmixing stereo for 5 channel reproduction.
ER  -