Title :
Voice quality degradation recognition using the call lengths
Author :
Gaspar, Zoltan ; Gocza, Izabella
Author_Institution :
Comput. Sci. Dept., Transilvania Univ., Brasov, Romania
Abstract :
This paper presents two statistical methods for determining a voice quality degradation event that relies on call duration analysis, approach that is suitable for large call volume systems with little processing power requirements. For the analysis we used real life data (460000 calls) and 387 customer complaints from a prepaid long distance provider. We are showing that, on average, more than 80% of the voice quality degradation events that lead to customer complaints can be identified in real time using our tests.
Keywords :
Internet telephony; statistical analysis; telephone networks; call duration analysis; call length; statistical method; voice quality degradation recognition; Acoustic testing; Auditory system; Degradation; Distortion measurement; Human voice; Internet telephony; Psychoacoustic models; Quality assessment; Speech analysis; Speech recognition;
Conference_Titel :
Optimization of Electrical and Electronic Equipment (OPTIM), 2010 12th International Conference on
Conference_Location :
Basov
Print_ISBN :
978-1-4244-7019-8
DOI :
10.1109/OPTIM.2010.5510571