Quantization of SEW and REW magnitude for 2 kb/s waveform interpolation speech coding

被引：0
|
作者：
Li, J [1 ]
Bao, CC [1 ]
机构：
[1] Beijing Univ Technol, Speech & Audio Signal Proc Lab, Beijing 100022, Peoples R China
来源：
2004 INTERNATIONAL SYMPOSIUM ON CHINESE SPOKEN LANGUAGE PROCESSING, PROCEEDINGS | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the quantization schemes for the magnitude spectra of the slowly evolving waveform (SEW) and rapidly evolving waveform (REW) components in a 2 kb/s waveform interpolation (WI) coder. The SEW magnitude spectrum is quantized using a DCT-based predictive vector quantization approach. The REW magnitude spectrum is quantized using a matrix quantizer based on the combined dimension conversion method. The objective measures and subjective results indicate that the proposed quantization schemes are effective in achieving good quantization accuracy.
引用
收藏
页码：141 / 144
页数：4
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