Recently, Quality of Experience (QoE) of voice service
has been paid more attentions because it represents the performance of voice
service subjectively perceived by the end users. And speech quality is commonly
used to measure the QoE value. In this paper, a speech quality assessment
algorithm is proposed for GSM network, aiming to predict and monitor QoE of
voice service based on radio link parameters with low complexity for operators.
Multiple Linear Regression (MLR) and Principal Component Analysis (PCA) are
combined and used to establish the mapping model from radio link parameters to
speech quality. Data set for model training and testing is obtained from real
commercial network of China Mobile. The experimental results show that with
sufficient training data, this algorithm can predict radio speech quality with
high accuracy and could be used to monitor speech quality of mobile network in
real time.
References
[1]
ITU-T P.10/G.100, “Vocabulary and Effects of Transmission Parameters on Customer Opinion of Transmission Quality,” 2008.
[2]
ITU-T Recommendation P.800, “Methods for Subjective Determination of Transmission Quality,” 1996.
[3]
ITU-T Recommendation P.862, “Perceptual Evaluation of Speech Quality (PESQ): An Objective Method for End-to-End Speech Quality Assessment of Narrow-Band Telephone networks and Speech Codecs,” 2001.
[4]
Huawei Technologies Co., Ltd. “The Methods and Devices for the Estimation of Speech Quality,” China Patent No. 200710172408.7, 2009.
[5]
Ericsson Telefon AB-LM, “Speech Quality Measurement in Mobile Telecommunication Networks Based on Radio Link Parameters,” US Patent No. 19970861563, 2000.
[6]
Y. J. ZUO, “Perception of Voice, Win by Method—Solutions for Voice Quality Assessment in TD-SCDMA by HUAWEI: VQI,” Mobile Communications, Vol. 34, No. 3, 2010, pp. 30-31.
[7]
ITU-T Recommendation P.862.3, “Application Guide for Objective Quality Measurement Based on Recommendations P.862, P.862.1 and P.862.2,” 2007.
[8]
M. Kantardzic (translated by S.Q. Shan, Y. Chen and Y. Cheng), “Data Mining,” Tsinghua University Press, Beijing, 2003.
[9]
ITU-T Recommendation P.862.1, “Mapping Function for Transforming P.862 Raw Result Scores to MOS-LQO,” 2003.
