DocumentCode :
2951658
Title :
Approximated Correlation Matrix and Pulse Prediction for Fast Algebraic Code-Excited LPC Speech Coders
Author :
Tsai, Shu-Min ; Yang, Jar-Ferr
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan
fYear :
2006
fDate :
9-12 July 2006
Firstpage :
181
Lastpage :
184
Abstract :
With reducing computational complexity, an approximated correlation matrix of the vocal impulse response is proposed in algebraic-code-excited linear prediction (ACELP) coders. By exploring statistical characteristics, we only need to calculate a small portion of correlation coefficients before ACELP search procedure. If we further combine a pulse position prediction algorithm, we can reduce the arithmetic complexity in pre-computing autocorrelation matrix and the number of pulse position combinations with imperceptible degradation in speech quality performance. The proposed scheme can be applied to all ACELP coders such as ITU G.729 and G.723.1
Keywords :
algebraic codes; approximation theory; correlation methods; linear predictive coding; matrix algebra; search problems; speech coding; statistical analysis; transient response; ACELP search procedure; algebraic-code-excited linear prediction coder; approximated correlation matrix; pulse position prediction algorithm; speech quality performance; statistical characteristics; vocal impulse response; Arithmetic; Autocorrelation; Bit rate; Computational complexity; Linear predictive coding; Matrices; Mean square error methods; Prediction algorithms; Search methods; Speech synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
Type :
conf
DOI :
10.1109/ICME.2006.262599
Filename :
4036566
Link To Document :
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