Title

Q2 Arts and Humanities
Marcos Faúndez-Zanuy
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引用次数: 0

Abstract

In this paper 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.
标题
在本文中,我们比较了采用线性预测的ADPCM方案和基于多层感知器的非线性预测方案的宽带子带语音编码器。详尽的结果呈现在每个波段,和完整的信号。我们提出的非线性神经网络预测方案在SEGSNR上优于线性方案高达2 dB。此外,我们还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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Kadmos
Kadmos Arts and Humanities-Classics
CiteScore
0.40
自引率
0.00%
发文量
0
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