摘要
为提高ACELP语音编码器中激励增益的量化性能,基于广泛应用的代数码激励线性预测语音编码模型,提出了一种具有一般意义的激励增益码书的建立方法,该方法可应用于各种不同速率ACELP语音编码器中.实验结果表明,使用该方法建立的6b增益矢量码书与8b标量增益码书的性能相当.
In order to improve the quantization quality of the excitation gains in ACELP speech coder, we present a general method for establishing the gains codebook in widely used ACELP speech coders. This method can be applied to ACELP speech coder at any bit rate. Experimental results show that the performance of 6 bits gains vector codebook, which is established by the purposed method, is equal to that of 8 bits gains scalar codebook.
出处
《北京工业大学学报》
EI
CAS
CSCD
北大核心
2007年第7期682-686,共5页
Journal of Beijing University of Technology
基金
北京市教委科技发展项目(KM200310005024)
华为科技有限公司合作项目(40002790200504).
关键词
语音编码
矢量量化
误差分析
码激励线性预测
speech coding
vector quantization
error analysis
code-excited linear prediction