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Given the effort required to perform subjective tests of quality of service in super-wideband telephone networks, an objective model of perceived degradation was created. This paper describes an efficient classification model of background noise arising at the originating side of super-wideband telephony. Classification depends on the impact on the perceived voice quality at receiving side from originating noises. This approach extends the research findings of narrowband telephony. Subjective experiments showed that background noises can be divided into three relevant classes: environmental noise, breath noise, and crackling noise. Each of these corresponds respectively to spectral flow, acoustic power variations, and the noise spectral centroid. Based on three quality degradation indicators, tests showed 82% correct classification of unknown noise signals.
Author (s): Tiemounou, Sibiri; Jeannès, Régine Le Bouquin; Ewert, Vincent Barriac
Affiliation:
INSERM, Rennes, France; Université de Rennes, Rennes, France; Orange Labs, Lannion, France
(See document for exact affiliation information.)
Publication Date:
2014-11-06
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Tiemounou, Sibiri; Jeannès, Régine Le Bouquin; Ewert, Vincent Barriac; 2014; Perception-Based Automatic Classification of Background Noise in Super-Wideband Telephony [PDF]; INSERM, Rennes, France; Université de Rennes, Rennes, France; Orange Labs, Lannion, France; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=17552
Tiemounou, Sibiri; Jeannès, Régine Le Bouquin; Ewert, Vincent Barriac; Perception-Based Automatic Classification of Background Noise in Super-Wideband Telephony [PDF]; INSERM, Rennes, France; Université de Rennes, Rennes, France; Orange Labs, Lannion, France; Paper ; 2014 Available: https://aes2.org/publications/elibrary-page/?id=17552
@article{tiemounou2014perception-based,
author={tiemounou sibiri and jeannès régine le bouquin and ewert vincent barriac},
journal={journal of the audio engineering society},
title={perception-based automatic classification of background noise in super-wideband telephony},
year={2014},
volume={62},
issue={11},
pages={776-781},
month={november},}
TY – paper
TI – Perception-Based Automatic Classification of Background Noise in Super-Wideband Telephony
SP – 776 EP – 781
AU – Tiemounou, Sibiri
AU – Jeannès, Régine Le Bouquin
AU – Ewert, Vincent Barriac
PY – 2014
JO – Journal of the Audio Engineering Society
VO – 62
IS – 11
Y1 – November 2014