Title :
The Modeling Method for Non-intrusive Objective Speech Quality Measurement Based on Cloud Theory
Author :
Li Jing ; Li Lingling ; Wan Juan ; Xu Genhua
Author_Institution :
Wuhan Univ., Wuhan
Abstract :
Objective speech quality assessment is a important research in speech processing recently, but there are so many disadvantages in assessment based on input-output. A novel modeling method for non-intrusive objective speech quality measurement based on cloud theory is proposed in this paper. The mothod for rule-maker constructed and feature extracted is proposed. The speech quality for subjective quality speech database is measured. The correlation between subjective system and objective system is analyzed. The Experimental results show that the method is an effective technique to increase nicety and decrease complexity for speech quality assessment.
Keywords :
feature extraction; speech synthesis; cloud theory; feature extraction; non-intrusive objective speech quality measurement; speech quality assessment; Clouds; Computer science; Feature extraction; Helium; Quality assessment; Spatial databases; Speech processing; Cloud Theory; Non-intrusive; Objective Speech Quality Assessment;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347475
