Towards Transfer-Plausibility for Evaluating Mixed Reality Audio in Complex Scenes

Wirler SA, Meyer-Kahlen N, Schlecht SJ. Towards Transfer-Plausibility for Evaluating Mixed Reality Audio in Complex Scenes. In: AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020). Audio Engineering Society; 2020. Paper 3-4. Available from: https://aes.org/publications/elibrary-page/?id=20881

@inproceedings{Wirler2020_20881,
  author = {Wirler, Stefan A. and Meyer-Kahlen, Nils and Schlecht, Sebastian J.},
  title = {{Towards Transfer-Plausibility for Evaluating Mixed Reality Audio in Complex Scenes}},
  booktitle = {AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)},
  note = {Paper 3-4},
  year = {2020},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20881}
}

TY  - CPAPER
TI  - Towards Transfer-Plausibility for Evaluating Mixed Reality Audio in Complex Scenes
AU  - Wirler, Stefan A.
AU  - Meyer-Kahlen, Nils
AU  - Schlecht, Sebastian J.
T2  - AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
M1  - Paper 3-4
PY  - 2020
DA  - 2020/08/06
UR  - https://aes.org/publications/elibrary-page/?id=20881
PB  - Audio Engineering Society
LA  - en
AB  - The evaluation of mixed reality audio is typically approached under the paradigms of either authenticity or plausibility. While the first refers to the identity of a real and a virtualized sound source, the latter measures the degree of belief in cases where no direct reference is available. We refer to transfer-plausibility as the ability of a virtualized source to stand alongside multiple real sound sources. We present a perceptual experiment where listeners detect and identify a sound source as being virtualized using dynamic non-individualized binaural rendering under varying scene complexity. Scene Complexity is controlled by a varying number of loudspeakers. We demonstrate that the presented methodology mitigates ceiling effects, typically encountered in authenticity and plausibility tests.
ER  -