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。
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.
出处
《声学技术》
CSCD
北大核心
2007年第6期1196-1200,共5页
Technical Acoustics
基金
华北电力大学青年教师科研基金(93211024)
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
speech coding
linear prediction
multi-frame jointly quantified
mixed excitation
linear spectrum frequency
