Adjustment of the Parameters Proposed for the Objective, Perceptual Based Evaluation Methods of Compressed Speech and Audio Signals

Dobrucki A, Kozlowski P. Adjustment of the Parameters Proposed for the Objective, Perceptual Based Evaluation Methods of Compressed Speech and Audio Signals. In: AES Convention 117. Audio Engineering Society; 2004. Paper 6286. Available from: https://aes.org/publications/elibrary-page/?id=12943

@inproceedings{Dobrucki2004_12943,
  author = {Dobrucki, Andrzej and Kozlowski, Piotr},
  title = {{Adjustment of the Parameters Proposed for the Objective, Perceptual Based Evaluation Methods of Compressed Speech and Audio Signals}},
  booktitle = {AES Convention 117},
  note = {Paper 6286},
  year = {2004},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12943}
}

TY  - CPAPER
TI  - Adjustment of the Parameters Proposed for the Objective, Perceptual Based Evaluation Methods of Compressed Speech and Audio Signals
AU  - Dobrucki, Andrzej
AU  - Kozlowski, Piotr
T2  - AES Convention 117
M1  - Paper 6286
PY  - 2004
DA  - 2004/10/06
UR  - https://aes.org/publications/elibrary-page/?id=12943
PB  - Audio Engineering Society
LA  - en
AB  - This document presents further results of continuation of research about objective methods, which use psychoacoustics knowledge for estimation of the quality of audio signals. The software written especially for this research is presented. This program allows for implementation of the different published methods for evaluation of the quality of perceptual coded audio signals. Protocols: PAQM, PSQM, NMR, PEAQ, PESQ have been implemented. All of these algorithms are used for simulation of the auditory system. The software is open for addition next protocols as the plug-ins. There is a possibility to change and improve protocols published earlier. Authors proposed in previous works how to improve objective protocols e.g. by changing pitch scale. Suggested adjustment of internal parameters of signal processing, which improves results of objective evaluation, is presented. The criterion of optimization is the difference between results of subjective and objective evaluation.
ER  -