DocumentCode :
2645942
Title :
Performance improvement of signal classifiers for speech/audio coding by higher-order statistics
Author :
Cho, Keuseok ; Hahn, Minsoo ; Jeong, Sangbae
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. Sci. & Technol., Daejeon, South Korea
fYear :
2011
fDate :
9-12 Jan. 2011
Firstpage :
821
Lastpage :
822
Abstract :
In this paper, a new decision rule for the frame-by-frame classification of speech and music signals is proposed. Based on the signal kurtosis and skewness, a binary decision tree is constructed by the classification and regression tree algorithm. By the speech quality tests in G.718 speech/audio coder, the superiority of the proposed algorithm is confirmed.
Keywords :
audio coding; decision trees; higher order statistics; signal classification; speech coding; G.718 speech-audio coder; binary decision tree; classification tree algorithm; frame-by-frame classification; higher-order statistics; music signals; regression tree algorithm; signal classifiers; signal kurtosis; signal skewness; speech quality tests; Conferences; Consumer electronics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4244-8711-0
Type :
conf
DOI :
10.1109/ICCE.2011.5722884
Filename :
5722884
Link To Document :
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