塞尔维亚语音位的比较分析

6th Seminar on Neural Network Applications in Electrical Engineering Pub Date : 2002-12-10 DOI:10.1109/NEUREL.2002.1057971

D. Arsenijević, M. Milosavljevic

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引用次数: 0

摘要

本文研究了塞尔维亚语音素的两种自回归模型。它们分别是线性自回归模型和单隐层前馈神经网络实现的非线性模型。结果表明，两种模型都得到了满意的结果。

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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Comparative analysis of Serbian phonemes

2 autoregressive (AR) models of Serbian phonemes are examined in this paper. They are the linear autoregressive model and the nonlinear model realized in a feedforward neural network with one hidden layer. It is shown that both models gave satisfying results.

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6th Seminar on Neural Network Applications in Electrical Engineering

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