DocumentCode
1351242
Title
Real-time speech segmentation using pitch and convexity jump models: application to variable rate speech coding
Author
Di Francesco, Renaud J.
Author_Institution
CNET LAA/TSS/CMC, Lannion, France
Volume
38
Issue
5
fYear
1990
fDate
5/1/1990 12:00:00 AM
Firstpage
741
Lastpage
748
Abstract
Convexity jump models are combined with period identification in the time domain to provide an efficient segmentation technique adapted to the needs of coders. The algorithm presented works online, with no training, and is speaker-independent. Structural problems found in previous systems (blank detection spots, long decision delays) have been overcome. Both the simplicity and the generality (information theory basis for the divergence test) allow applications of the automatic online segmentation method in other areas of signal processing
Keywords
encoding; speech analysis and processing; speech recognition; statistical analysis; automatic online segmentation method; convexity jump models; divergence test function; period identification; pitch periods; signal processing; speaker-independent; time domain; variable rate speech coding; Bit rate; Context modeling; Delay; Filters; Robustness; Signal processing; Speech coding; Speech processing; Speech recognition; Testing;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/29.56018
Filename
56018
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