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Bilingual Speech Recognition System for Isolated Words Using Deep Neural Network

机译:使用深神经网络孤立词语的双语语音识别系统

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摘要

Bilingual speech recognition gradually becomes an attractive research topic because bilingual writings or speech is present in almost everywhere in present scenario. Bilingual speech recognition is the process of recognizing two different languages in the speech signal. In this research it is proposed to develop a bilingual speech recognition for isolated words uttered in English and Tamil language. There are two major modules in the proposed system are, language recognition and speech recognition. Experimental results show that the English utterances of female having higher accuracy (93.6%) than male utterances in language recognition. The performance of system using six hidden layer is higher (approximately 90% for all male and female utterances) when compared to the other hidden layers.
机译:双语语音识别逐渐成为一个有吸引力的研究主题,因为在现有场景中几乎到处都存在双语着作或演讲。双语语音识别是识别语音信号中两种不同语言的过程。在这项研究中,建议为以英语和泰米尔语言发出的孤立词语制定双语语音识别。建议系统中有两个主要模块是语言识别和语音识别。实验结果表明,女性的英语话语具有更高的准确性(93.6)比语言识别的男性话语。与其他隐藏层相比,使用六个隐藏层的系统性能使用六个隐藏层更高(所有男性和女性话语的90 %)。

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