Comparative study on vector quantization codebook generation algorithms for wideband speech coding
Kavya Manohar, B. Premanand
Abstract
Kavya Manohar, B. Premanand
Abstract
This paper presents a review and performance comparison on several vector quantization (VQ) codebook generation algorithms. The codebook generation algorithms discussed include K-means algorithm, Multi stage vector quantization (MSVQ) algorithm and Predictive split vector quantization (PSVQ)algorithm. The vectors under consideration are the Line Spectral Frequency (LSF) vectors obtained by transforming Linear Prediction Coefficients (LPCs) extracted during Code Excited Linear Prediction(CELP) coding of wideband speech. The study compares the algorithms based on their computational cost and the perceptual quality of resultant speech.
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This paper presents a review and performance comparison on several vector quantization (VQ) codebook generation algorithms. The codebook generation algorithms discussed include K-means algorithm, Multi stage vector quantization (MSVQ) algorithm and Predictive split vector quantization (PSVQ)algorithm. The vectors under consideration are the Line Spectral Frequency (LSF) vectors obtained by transforming Linear Prediction Coefficients (LPCs) extracted during Code Excited Linear Prediction(CELP) coding of wideband speech. The study compares the algorithms based on their computational cost and the perceptual quality of resultant speech.
Key concepts: Codebook, Linde–Buzo–Gray algorithm, Code-excited linear prediction, Vector quantization, Vector sum excited linear prediction, Speech coding, Linear predictive coding, Computer science