This paper describes an original method for speech quality evaluation in the presence of different types of background noises for a range of communications (mobile, VoIP, RTC). The model is obtained from subjective experiments described in . These experiments show that background noise can be more or less tolerated by listeners, depending on the sources of noise that can be identified. Using a classification method, the background noises can be classified into four groups. For each one of the four groups, a relation between loudness of the noise and speech quality is proposed.
Bibliographic reference. Leman, Adrien / Faure, Julien / Parizet, Etienne (2009): "A non-intrusive signal-based model for speech quality evaluation using automatic classification of background noises", In INTERSPEECH-2009, 1139-1142.