Degradation-classification assisted single-ended quality measurement of speech
Hua Yuan, Tiago Henrique Falk, Wai-Yip Chan · 2007
We propose an algorithm to classify speech degradations at network endpoints and to estimate the speech quality based on the degradation classification decision. Percep-tual features from degraded speech signals are used to form statistical reference models of different degradation classes. Consistency measures, calculated between de-graded speech signals and the reference models, are used to train a degradation classifier and mean opinion score (MOS) mappings. The quality of a received speech signal is estimated based on its degradation class and the MOS mapping associated with the class. Experimental results show that the proposed algorithm achieves high classifi-cation accuracy, and degradation classification improves the accuracy of the quality estimate. Index Terms: speech communication network, speech degradations, speech transmission impairments, degrada-tion classification, speech quality measurement. 1.