Application of Deep Neural Network for Real-Time Voice Command Recognition

Ihor Mykhailichenko, Heorhii Ivashchenko, Olesia Barkovska, Oleksii Liashenko
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引用次数: 2

Abstract

The article proposes a method for voice command recognition in real time mode using a deep neural network. which is built with a combination of different artificial neural networks architectures. Pre-processing of the sound signal is used for further recognition. The evaluation of the recognition efficiency is carried out by means of a comparative analysis. The results of experimental studies (voice recognition accuracy of 85%) demonstrate the features of the proposed method.
深度神经网络在实时语音命令识别中的应用
本文提出了一种基于深度神经网络的实时语音命令识别方法。它是由不同的人工神经网络架构组合而成的。对声音信号进行预处理,进一步进行识别。通过对比分析对识别效率进行了评价。实验结果(语音识别准确率达85%)验证了所提方法的特点。
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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