Towards the Prediction of Perceived Room Acoustical Similarity

Helmholz H, Ananthabhotla I, Calamia PT, Amengual Gari SV. Towards the Prediction of Perceived Room Acoustical Similarity. In: AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference. Audio Engineering Society; 2022. Paper 20. Available from: https://aes.org/publications/elibrary-page/?id=21850

@inproceedings{Helmholz2022_21850,
  author = {Helmholz, Hannes and Ananthabhotla, Ishwarya and Calamia, Paul T. and Amengual Gari, Sebastià V.},
  title = {{Towards the Prediction of Perceived Room Acoustical Similarity}},
  booktitle = {AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference},
  note = {Paper 20},
  year = {2022},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21850}
}

TY  - CPAPER
TI  - Towards the Prediction of Perceived Room Acoustical Similarity
AU  - Helmholz, Hannes
AU  - Ananthabhotla, Ishwarya
AU  - Calamia, Paul T.
AU  - Amengual Gari, Sebastià V.
T2  - AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference
M1  - Paper 20
PY  - 2022
DA  - 2022/08/06
UR  - https://aes.org/publications/elibrary-page/?id=21850
PB  - Audio Engineering Society
LA  - en
AB  - Understanding perceived room acoustical similarity is crucial to generating perceptually optimized audio rendering algorithms that maximize the perceived quality while minimizing the computational cost. In this paper we present a perceptual study in which listeners compare dynamic binaural renderings generated from spatial room impulse responses (SRIRs) obtained in several rooms and positions and are asked to identify whether they belong to the same space. The perceptual results, together with monaural room acoustical parameters, are used to generate a prediction model that estimates the perceived similarity of two SRIRs.
ER  -