论文标题
ADPCM中神经网的非线性预测
Nonlinear prediction with neural nets in ADPCM
论文作者
论文摘要
在过去的几年中，对非线性语音模型的兴趣越来越大。已经发表了几项作品，揭示了非线性技术的表现更好，但是很少关注将非线性模型实施到真实应用中。这项工作的重点是在语音波形编码器中基于神经网的非线性预测模型的行为研究。我们的新型方案在1至2 dB之间获得了SEGSNR的改善，以范围为2至5位的自适应量化。
In the last years there has been a growing interest for nonlinear speech models. Several works have been published revealing the better performance of nonlinear techniques, but little attention has been dedicated to the implementation of the nonlinear model into real applications. This work is focused on the study of the behaviour of a nonlinear predictive model based on neural nets, in a speech waveform coder. Our novel scheme obtains an improvement in SEGSNR between 1 and 2 dB for an adaptive quantization ranging from 2 to 5 bits.
