摘要
随着通信、计算机网络等技术的飞速发展,数据压缩技术已成为当今数字通信、广播、存储和多媒体娱乐中的一项关键的共性技术。大量的数字化多媒体信息,对这些信息量进行有效的压缩,然后投入到实际的应用中显得极为重要。
音频压缩指的是对原始数字音频信号流(PCM编码)运用适当的数字信号处理技术,不损失有用信息量,降低其码率,也称为压缩编码。在预测技术产生之后,语音压缩的灵活运用,多种崭新的技术的出现,使语音编码成为了一个令人振奋、活跃的研究领域。
系统分为录制语音及压缩两个模块,使用Visual C++ 6.0编写。本文介绍了语音信号预测编码的数据压缩算法研究的许多方面,主要集中在语音编码的一些主要观念和设计的思想和实现方法,提供了语音编码方面研究的概论,各种语音编码技术以及G.7xx标准,还详细地叙述了有关预测编码以及ADPCM的相关知识,设计了一个在达到一定压缩比的前提下,具有较高语音质量的,用以实现进行语音压缩的软件。
关键词:语音信号,数据压缩,预测编码,ADPCM
ABSTRACT
With the fact that technologies such as communication , computer network develops at full speed, the data compression technology already becomes one key industry-specific technology in digital communication, broadcast , memory and multi-media entertainment in the nowadays. There is a lot of digital multimedia information. It becomes more important that doing effective compression before putting it into practical application.
Audio compression means to primitive figure an audio signal stream (PCM code) uses appropriate techniques of digital signal processing, before do not lose useful information amounts, and reduce the coding (compressing) rates. Audio compression also called the compression code. The flexible application of speech coding behind predicting technology creation, various brand-new technology appearing, which have made speech coding become an inspiring enthusiasm, active research field.
The data compression system is divided into two modules,voice record and compression, which is using Visual C + + 6.0 to program. This paper, in the respect of a lot of being going to introduce that speech signal predictive code data compression algorithm, is focusing on some main concept of speech coding and the designing thought and realization method. It have provided the introduction of various speech coding technology and the G.7xx standards, also have narrated relevance knowledge about predictive coding and ADPCM detailed, and have designed a software for the realization of speech compression in a certain compression ratio on the premise that high voice quality of speech.
KEY WORDS speech coding, data compression, predictive coding, ADPCM