F. Ben Ali, S. Djaziri Larbi, and M. Jaidane, “Stationarity Assumption and Frame Segmentation in Objective Quality Evaluation Systems: A Language Dependency,” in Proc. AES Conference: 38th International Conference: Sound Quality Evaluation, Jun. 2010, Paper 1-6. [Online]. Available: https://aes.org/publications/elibrary-page/?id=15473
Ben Ali F, Djaziri Larbi S, Jaidane M. Stationarity Assumption and Frame Segmentation in Objective Quality Evaluation Systems: A Language Dependency. In: AES Conference: 38th International Conference: Sound Quality Evaluation. Audio Engineering Society; 2010. Paper 1-6. Available from: https://aes.org/publications/elibrary-page/?id=15473
@inproceedings{BenAli2010_15473,
author = {Ben Ali, Faten and Djaziri Larbi, Sonia and Jaidane, Meriem},
title = {{Stationarity Assumption and Frame Segmentation in Objective Quality Evaluation Systems: A Language Dependency}},
booktitle = {AES Conference: 38th International Conference: Sound Quality Evaluation},
note = {Paper 1-6},
year = {2010},
month = jun,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=15473}
}
TY - CPAPER
TI - Stationarity Assumption and Frame Segmentation in Objective Quality Evaluation Systems: A Language Dependency
AU - Ben Ali, Faten
AU - Djaziri Larbi, Sonia
AU - Jaidane, Meriem
T2 - AES Conference: 38th International Conference: Sound Quality Evaluation
M1 - Paper 1-6
PY - 2010
DA - 2010/06/06
UR - https://aes.org/publications/elibrary-page/?id=15473
PB - Audio Engineering Society
LA - en
AB - "In this paper we use a time-frequency based measure, the stationarity index, to characterize the non stationary behavior of languages. We show that different languages have different non stationary behavior. This is done in order to explain why speech processing systems relying on frame by frame analysis in the frequency domain, have a language dependent behavior. This dependency is demonstrated using the case of PESQ, the Perceptual Evaluation of Speech Quality model, which enables objective assessment of speech quality."
ER -