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
fDate :
5/1/1990 12:00:00 AM
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;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on