基于说话人的低带宽通信语音压缩

H.D. Pfister, H.L. Pfister
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引用次数: 1

摘要

标准对象系统为语音信号的压缩和解压缩开发了新的信号处理方法。该方法通过使用两阶段处理,大大降低了语音数据的通信带宽要求。在第一阶段,创建一个依赖于说话人的语音信息文件来对说话人建模。这个文件在第二阶段用于在发送端压缩说话人的语音并在接收端解压说话人的语音。这种语音压缩已经证明了比特率低至每秒500比特的通信质量语音。目前的航空航天应用采用的标准包括INMARSAT-M (MBE)上使用的4150 BPS的多频段激励,美国国防部4800 BPS STU III系统的编码激励线性预测(CELP),或北美数字蜂窝标准使用的8000 BPS的矢量和激励LPC (VSELP)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speaker dependent speech compression for low bandwidth communication
Standard Object Systems has developed novel signal processing method for the compression and decompression of speech signals. The approach provides a dramatic reduction in communication bandwidth requirements for speech data by using a two phase process. In the first phase, a speaker dependent voice information file is created to model the speaker. This file is used in the second phase to both compress the speaker's speech at the transmitter and decompress the speaker's speech at the receiver. This speech compression has demonstrated communications quality speech at bit rates as low as 500 bits per second. Current aerospace applications employ standards such as multi band excitation as used on INMARSAT-M (MBE) at 4,150 BPS, as code excited linear prediction (CELP) for the U.S. DoD 4800 BPS STU III system, or the North American digital cellular standard using vector sum excited LPC (VSELP) at 8000 BPS.
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