论文标题
具有MLP LPC结构的自适应混合语音编码
Adaptive hybrid speech coding with a MLP LPC structure
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。这项工作集中在研究语音波形编码器中基于线性预测编码（LPC-10）和神经网的联合线性/非线性预测模型的行为上。我们的新型方案在1至2.5 dB之间获得了SEGSNR的改善，用于自适应量化范围为2至5位。
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 combined linear/nonlinear predictive model based on linear predictive coding (LPC-10) and neural nets, in a speech waveform coder. Our novel scheme obtains an improvement in SEGSNR between 1 and 2.5 dB for an adaptive quantization ranging from 2 to 5 bits.
