The Adjustment / Satisfaction Test (A/ST) for the Subjective Evaluation of Dialogue Enhancement

Torcoli M, Herre J, Paulus J, Uhle C, Fuchs H, Hellmuth O. The Adjustment / Satisfaction Test (A/ST) for the Subjective Evaluation of Dialogue Enhancement. In: AES Convention 143. Audio Engineering Society; 2017. Paper 9842. Available from: https://aes.org/publications/elibrary-page/?id=19239

@inproceedings{Torcoli2017_19239,
  author = {Torcoli, Matteo and Herre, Jürgen and Paulus, Jouni and Uhle, Christian and Fuchs, Harald and Hellmuth, Oliver},
  title = {{The Adjustment / Satisfaction Test (A/ST) for the Subjective Evaluation of Dialogue Enhancement}},
  booktitle = {AES Convention 143},
  note = {Paper 9842},
  year = {2017},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19239}
}

TY  - CPAPER
TI  - The Adjustment / Satisfaction Test (A/ST) for the Subjective Evaluation of Dialogue Enhancement
AU  - Torcoli, Matteo
AU  - Herre, Jürgen
AU  - Paulus, Jouni
AU  - Uhle, Christian
AU  - Fuchs, Harald
AU  - Hellmuth, Oliver
T2  - AES Convention 143
M1  - Paper 9842
PY  - 2017
DA  - 2017/10/06
UR  - https://aes.org/publications/elibrary-page/?id=19239
PB  - Audio Engineering Society
LA  - en
AB  - Media consumption is heading towards high degrees of content personalization. It is thus crucial to assess the perceptual performance of personalized media delivery. This work proposes the Adjustment/Satisfaction Test (A/ST), a perceptual test where subjects interact with a user-adjustable system and their adjustment preferences and the resulting satisfaction levels are studied. We employ the A/ST to evaluate an object-based audio system that enables the personalization of the balance between dialogue and background, i.e., a Dialogue Enhancement system. Both the case in which the original audio objects are readily available and the case in which they are estimated by blind source separation are compared. Personalization is extensively used, resulting in clearly increased satisfaction, even in the case with blind source separation.
ER  -