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