Speech recognition using neural networks

S. Khan, G. Sharma, P. Rao
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引用次数: 5

Abstract

The paper presents a continuous speech recognition system based on a neural network concept. An articulatory-phonetic feature extraction network (APFEN) is used for extracting articulatory-phonetic features. This is followed by a coarticulation network for reducing the effect of coarticulation present in the continuous speech. Algorithms for segmentation and then identification of phonemes are given.
使用神经网络的语音识别
本文提出了一种基于神经网络概念的连续语音识别系统。语音特征提取网络(APFEN)用于语音特征提取。接下来是一个协同发音网络,用于减少连续语音中存在的协同发音的影响。给出了分割和识别音素的算法。
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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