位置固定模式矢量量化多脉冲激励研究

J. S. Yamamoto, F. Violaro
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引用次数: 0

摘要

提出了一种基于位置固定模式多脉冲激励矢量量化的语音编码方法。由于在这类激励信号中脉冲的位置是已知的,因此将矢量量化设计技术直接应用于由传统的多脉冲线性预测(MPE-LPC)语音编码器产生的多脉冲激励训练序列,并对脉冲位置进行限制,可以很容易地获得码本。非正式听力测试表明,固定位置矢量量化多脉冲激励(VQMPE-FPP)在产生低至6.7-7.1 kbit/s的比特率下非常有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation on vector quantized multipulse excitation with fixed pattern of positions
The authors consider speech coding based on the vector quantization of the multipulse excitation with a fixed pattern of positions (MPE-FPP). Since in this type of excitation signal the positions of the pulses are known, a codebook can be easily obtained by applying the vector quantization design technique directly to a training sequence of the multipulse excitation generated by a conventional multipulse linear prediction (MPE-LPC) speech coder with restrictions on the pulse positions. Informal listening tests have shown that the vector quantized multipulse excitation with fixed pattern of positions (VQMPE-FPP) is very efficient in producing natural-sounding speech at a bit rate as low as 6.7-7.1 kbit/s.<>
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