基于语音的车辆运动控制解决方案

Journal of Telecommunictions and Information Technology Pub Date : 2021-09-30 DOI:10.26636/jtit.2021.149820

G. Kaur, Mohit Srivastava, Amod Kumar

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引用次数: 1

摘要

这篇文章描述了一个基于语言的机器人原型，旨在帮助老年人或残疾人的运动。使用Mel频率倒谱coe(cid:14)客户端(MFCC)提取语音特征，并训练深度信念网络(DBN)进行命令识别。该原型在真实环境中进行了测试，准确率达到87.4%。

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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Speech-Based Vehicle Movement Control Solution

|The article describes a speech-based robotic prototype designed to aid the movement of elderly or handicapped individuals. Mel frequency cepstral coe(cid:14)cients (MFCC) are used for the extraction of speech features and a deep belief network (DBN) is trained for the recognition of commands. The prototype was tested in a real-world environment and achieved an accuracy rate of 87.4%.

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Journal of Telecommunictions and Information Technology

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