tailieunhanh - Báo cáo hóa học: " Research Article On the Evaluation of the Conversational Speech Quality in Telecommunications"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article On the Evaluation of the Conversational Speech Quality in Telecommunications | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 185248 15 pages doi 2008 185248 Research Article On the Evaluation of the Conversational Speech Quality in Telecommunications Marie Gueguin 1 Regine Le Bouquin-Jeannes 1 Valerie Gautier-Turbin 2 Gerard Faucon 1 and Vincent Barriac2 1 Laboratoire Traitement du Signal et de l Image INSERM U642 Universite de Rennes 1 Campus de Beaulieu F-35042 Rennes Cedex France 2 France Telecom R D TECH SSTP MOV F-22307 Lannion France Correspondence should be addressed to Marie Gueguin Received 30 October 2007 Accepted 11 March 2008 Recommended by Ricardo Merched We propose an objective method to assess speech quality in the conversational context by taking into account the talking and listening speech qualities and the impact of delay. This approach is applied to the results of four subjective tests on the effects of echo delay packet loss and noise. The dataset is divided into training and validation sets. For the training set a multiple linear regression is applied to determine a relationship between conversational talking and listening speech qualities and the delay value. The multiple linear regression leads to an accurate estimation of the conversational scores with high correlation and low error between subjective and estimated scores both on the training and validation sets. In addition a validation is performed on the data of a subjective test found in the literature which confirms the reliability of the regression. The relationship is then applied to an objective level by replacing talking and listening subjective scores with talking and listening objective scores provided by existing objective models fed by speech signals recorded during the subjective tests. The conversational model achieves high performance as revealed by comparison with the test results and with the existing standard methodology E-model presented in the ITU-T .