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An Algorithm for Simple Differential Speech Coding Based on Backward Adaptation Technique

机译:基于后向自适应技术的简单差分语音编码算法

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摘要

This paper presents a simple differential speech signal coding algorithm, based on backward adaptation. The considered algorithm is executed in frame by frame manner, by implementing predictive and adaptive quantization techniques. Both prediction and adaptation are performed backward, based on the previously quantized input signal frame. This enables us to obtain high quality output signal, without increasing the bit rate. This research puts emphasis on the quantizer design, with the optimal support limit determination, and theoretical performance evaluation. Objective quality of the output signal is evaluated through signal to quantization noise ratio (SQNR). We perform theoretical and experimental analysis of the algorithm performance and provide comparative results of implementing speech signal coding techniques with similar complexity. Experimental results show that our simple differential speech coding algorithm satisfies the G. 712 Recommendation for high-quality speech coding at the bit rate of 6 bits per sample. This indicates that the algorithm can be successfully implemented in high quality speech signal coding.
机译:本文提出了一种基于后向自适应的简单差分语音信号编码算法。通过实现预测和自适应量化技术,以帧为单位执行考虑的算法。基于先前量化的输入信号帧,预测和自适应都向后执行。这使我们能够在不增加比特率的情况下获得高质量的输出信号。这项研究着重于量化器设计,最佳支持极限确定和理论性能评估。通过信噪比(SQNR)评估输出信号的客观质量。我们对算法性能进行了理论和实验分析,并提供了实现相似复杂度的语音信号编码技术的比较结果。实验结果表明,我们的简单差分语音编码算法满足G.712建议书中关于高质量语音编码的建议,每个样本的比特率为6位。这表明该算法可以在高质量语音信号编码中成功实现。

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