Title :
Coding the line spectral frequencies by jointly optimized MA prediction and vector quantization
Author_Institution :
Dept. of Acoust. & Speech Res., Lucent Technol., Murray Hill, NJ, USA
Abstract :
This paper presents a method for designing and optimizing predictive vector quantizers (PVQ) for coding the line spectral frequencies (LSF) in LPC-based speech and audio coders. The algorithm is based on iterative optimization of the predictors and the vector-quantizer codebooks. It is shown that the proposed method yields high quality LSF predictive quantizers with performance exceeding that of the PVQ used in the G.729 standard
Keywords :
iterative methods; linear predictive coding; moving average processes; optimisation; spectral analysis; speech coding; vector quantisation; vocoders; G.729 standard; LPC-based audio coders; LPC-based speech coders; PVQ; algorithm; high quality LSF predictive quantizers; iterative optimization; jointly optimized MA prediction; line spectral frequencies coding; performance; predictive vector quantizers; vector quantization; vector-quantizer codebooks; Acoustics; Design methodology; Encoding; Frequency; Iterative algorithms; Predictive coding; Redundancy; Speech coding; Speech recognition; Vector quantization;
Conference_Titel :
Speech Coding Proceedings, 1999 IEEE Workshop on
Conference_Location :
Porvoo
Print_ISBN :
0-7803-5651-9
DOI :
10.1109/SCFT.1999.781479
