论文标题
使用非线性预测的宽带子带语音编码
Wide band sub-band speech coding using nonlinear prediction
论文作者
论文摘要
我们使用基于多层感知器的非线性预测，使用具有线性预测的ADPCM方案比较了宽带副语音编码器。每个频段和完整信号都呈现详尽的结果。我们提出的非线性神经净预测的方案优于SEGSNR中最高2 dB的线性方案。此外，我们提出了一种基于非线性的简单方法，以便从窄带信号中获得合成的宽带信号。
We compare a wide band sub-band speech coder using ADPCM schemes with linear prediction against the same scheme with nonlinear prediction based on multi-layer perceptrons. Exhaustive results are presented in each band, and the full signal. Our proposed scheme with non-linear neural net prediction outperforms the linear scheme up to 2 dB in SEGSNR. In addition, we propose a simple method based on a non-linearity in order to obtain a synthetic wide band signal from a narrow band signal.
