LSF Vector Quantizer for 2.4kb/s Codec Based on Speech Unvoiced/Voiced Classification

Qiang Li; Xiao Hong Zhang; Qing Yu Niu

doi:10.4028/www.scientific.net/AMM.644-650.2185

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650LSF Vector Quantizer for 2.4kb/s Codec Based on...

LSF Vector Quantizer for 2.4kb/s Codec Based on Speech Unvoiced/Voiced Classification

Abstract:

In order to reduce bit-rate and still maintain fine distortion performance,this paper proposed a method of LSF quantization based on speech unvoiced/voiced classification. This method use differential LSF parameters from unvoiced/voiced database to train codebook. And using this method can suppress the quantization error propagation caused by directly vector quantization of LSF parameters. Experimental results show that using this method to quantify LSF will have a better quality while allocating the same number of bits.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

2185-2188

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.2185

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Online since:

September 2014

Authors:

Qiang Li*, Xiao Hong Zhang, Qing Yu Niu

Keywords:

LSF Parameters, Unvoiced/Voiced Classification, Vector Quantizer

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* - Corresponding Author

References

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