%0 Journal Article
%T Predictive switched split vector quantiser of very low bit-rate speech coder<br>低速语音编码中的预测分类分裂矢量量化技术*
%A MA Qing-li
%A JI Xin-sheng
%A YANG Yu-cun
%A <br>马庆利
%A 季新生
%A 杨于村
%J 计算机应用研究
%D 2009
%I 
%X In order to reduce bit-rate and still maintain fine distortion performance, this paper proposed predictive switched split vector quantization method. It added memory according the characteristic of the LSP.And it was a hybrid of switched split vector quantization techniques. Experimental results show that the PSSVQ provides a better trade-off between bit-rate and distortion performance than the others. In addition, the PSSVQ has a lower computational (search) complexity at the expense of an increase in memory requirements.
%K speech coding
%K line spectral pair(LSP)
%K multi-stage vector quantization(MSVQ)
%K predictive switched split vector quantization
%K spectral distortion<br>语音编码
%K 线谱对
%K 多级矢量量化
%K 预测分类分裂矢量量化
%K 谱失真
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=411C555AA2AB47EE7C681F55B789CBA1&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=8611B3AB1C776678&eid=74A9E3EBD9AE2843&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10