首页 | 本学科首页   官方微博 | 高级检索  
     

超低速率MELP语音编码算法研究
引用本文:戚银城,张巍,苑津莎.超低速率MELP语音编码算法研究[J].声学技术,2007,26(6):1196-1200.
作者姓名:戚银城  张巍  苑津莎
作者单位:华北电力大学电气与电子工程学院,河北保定,071003
基金项目:华北电力大学校科研和教改项目
摘    要:在语音编码算法中,混和激励线性预测(MELP)算法因为能更好的模拟自然语言特征,在低速率上能合成较高质量的语音,而成为现代低速率语音编码中最有潜力的算法之一。但在无线通信、卫星通信以及军用和保密通信中,信道带宽成为一个突出的问题,因此对更低速率语音压缩编码技术乃至超低速率的语音压缩编码技术的研究是非常有必要的。针对语音通信中关于极低速率的要求,深入分析了现今的几种基于MELP的低速率语音编码算法,对其原理以及关键技术进行了归纳总结,并对语音质量进行了比较。

关 键 词:语音编码  线性预测  多帧联合量化  混合激励  线谱对频率
文章编号:1000-3630(2007)-06-1196-05
收稿时间:2006-11-30
修稿时间:2007-03-10

Very low bit rate MELP speech coding algorithms
QI Yin-cheng,ZHANG Wei and YUAN Jin-sha.Very low bit rate MELP speech coding algorithms[J].Technical Acoustics,2007,26(6):1196-1200.
Authors:QI Yin-cheng  ZHANG Wei and YUAN Jin-sha
Affiliation:School of Electricity and Electronic Engineering, North China Electric Power University, Baoding 071003, Hebei, China;School of Electricity and Electronic Engineering, North China Electric Power University, Baoding 071003, Hebei, China;School of Electricity and Electronic Engineering, North China Electric Power University, Baoding 071003, Hebei, China
Abstract:In speech coding algorithms,the Mixed Excitation Linear Prediction (MELP) algorithm can do better to imitate the natural speech characteristic and can synthesize a high quality speech in the low bit rate,so it becomes one of the most potential algorithms in the modern low bit rate speech coding. In the wireless communication,satellite communication,the military and secure communication,the channel bandwidth is a serious problem,so it is necessary to study the compressed (even very low bit rate) speech coding technique. This paper analyses several low bit rate speech coding algorithms based on MELP,summarizes the theories and the key techniques,and finally makes a comparison of the speech qualities.
Keywords:speech coding  linear prediction  multi-frame jointly quantified  mixed excitation  linear spectrum frequency
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《声学技术》浏览原始摘要信息
点击此处可从《声学技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号