Assessing Audio Performance: A Study in the Context of Loudness Processing

Nieto Illescas ÁJ, Travaglini A, Klein J. Assessing Audio Performance: A Study in the Context of Loudness Processing. In: AES 2024 International Conference on Automotive Audio. Audio Engineering Society; 2024. Paper 9. Available from: https://aes.org/publications/elibrary-page/?id=22618

@inproceedings{NietoIllescas2024_22618,
  author = {Nieto Illescas, Álvaro Jesús and Travaglini, Alessandro and Klein, Johannes},
  title = {{Assessing Audio Performance: A Study in the Context of Loudness Processing}},
  booktitle = {AES 2024 International Conference on Automotive Audio},
  note = {Paper 9},
  year = {2024},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22618}
}

TY  - CPAPER
TI  - Assessing Audio Performance: A Study in the Context of Loudness Processing
AU  - Nieto Illescas, Álvaro Jesús
AU  - Travaglini, Alessandro
AU  - Klein, Johannes
T2  - AES 2024 International Conference on Automotive Audio
M1  - Paper 9
PY  - 2024
DA  - 2024/06/17
UR  - https://aes.org/publications/elibrary-page/?id=22618
PB  - Audio Engineering Society
LA  - en
AB  - This paper presents a methodology for evaluating the perceived quality of an audio processing device. It is based on two stages, namely Objective and Subjective. The Objective stage consists of producing objective measurements of audio signal descriptors for both source and processed signals. Based on the collected dataset, deviations to Target Reference values are computed and utilized to generate statistical analyses on the performance of the device. The Subjective stage is performed to assess the quality of the processed audio content as perceived by the end-users. Based on a Mean Opinion Score framework, it collects subjective assessments on the following attributes: Target Consistency and Impact on Source Quality. The results are processed to describe the performance of the device being assessed. As a sample implementation of the methodology, the performance of three different loudness processors is evaluated and the results of Objective and Subjective stages are used for defining their overall quality performance.
ER  -