用于感知增强的LPC量化中的频谱动力学控制

J. Samuelsson, J. Skoglund, J. Linden
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引用次数: 6

摘要

在语音编码中考虑频谱参数的演化可以提高感知性能。在这项研究中,我们检查和比较两种方法,是为显式控制光谱动力学设计的。一种方法通过在失真测量中加入约束对编码系统的编码器部分进行操作,另一种方法平滑解码器侧输出矢量的轨迹。然而,解码器方法需要一帧的额外编码延迟。通过听音实验证明,对于三种不同的矢量量化器结构,特别是译码方法都有显著的改进。对于有噪声的信道,更强调这种方法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controlling spectral dynamics in LPC quantization for perceptual enhancement
Taking the evolution of spectral parameters into consideration in speech coding has been shown to enhance the perceptual performance. In this study we examine and compare two methods that are designed for explicit control of spectral dynamics. One method operates on the encoder part of the coding system by incorporating a constraint in the distortion measure and the other method smoothes the trajectory of output vectors at the decoder side. The decoder method requires however an additional coding delay of one frame. By means of listening experiments it is demonstrated for three different vector quantizer structures that especially the decoder method gives significant improvements. For noisy channels, the preference for this method is even more emphasized.
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