神经网络在罗马尼亚语语音处理中的应用

I. Gavat, C. Dumitru, G. Costache
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引用次数: 3

摘要

本文介绍了神经网络在语音处理方面的研究工作。将Kohonen图与多层感知器相结合,应用于单词识别任务。利用多层感知器、Kohonen映射和径向基函数网络实现了连续语音的分层分割。分析了用于孤立词识别的神经统计结构和用于元音识别的神经模糊混合结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of neural networks in speech processing for Romanian language
In the paper is presented our work concerning speech processing by neural networks. A combination of Kohonen maps and multilayer perceptrons is applied in a word spotting task. A hierarchical segmentation procedure for continuous speech is realized with multilayer perceptrons, Kohonen maps and radial basis function networks. A neuro-statistical structure for isolated word recognition and a neuro-fuzzy hybrid for vowel recognition are analyzed.
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