论文标题
具有非线性预测的ADPCM
ADPCM with nonlinear prediction
论文作者
论文摘要
许多语音编码器基于线性预测编码（LPC），但是使用LPC无法建模语音信号中存在的非线性。因此，非线性技术越来越感兴趣。在本文中，我们基于神经网的非线性预测因子讨论了ADPCM方案，在SEGSNR中，与经典方法相比，该方案在SEGSNR中提高1-2.5db。本文将讨论阻碍和样本自适应预测。
Many speech coders are based on linear prediction coding (LPC), nevertheless with LPC is not possible to model the nonlinearities present in the speech signal. Because of this there is a growing interest for nonlinear techniques. In this paper we discuss ADPCM schemes with a nonlinear predictor based on neural nets, which yields an increase of 1-2.5dB in the SEGSNR over classical methods. This paper will discuss the block-adaptive and sample-adaptive predictions.
