Wheelchair control using speech recognition

P. Ghule, M. Bhalerao, Rajan H. Chile, V. G. Asutkar
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引用次数: 1

Abstract

In this paper a speech controlled wheelchair for physically disabled person is developed which can be used for different languages. A speech recognition system using Mel Frequency Cepstral Coefficients (MFCC) was developed in the laptop with an interactive and user friendly GUI and the normal wheelchair was converted to an electric wheelchair by applying a gear mechanism to the wheels with DC motor attached to the gear. An Arduino Uno board is used to acquire the control signal from MATLAB and give it to relay driver circuit which intern results in the motion of wheelchair in desired direction. The speech inputs such as forward, back, left, right and stop acquired from the user and then the motion of the wheelchair made according to the respective command. The performance of MFCC in presence of noise and for different languages was studied to know the reliability of the algorithm in different condition.
轮椅控制使用语音识别
本文研制了一种可用于不同语言的残疾人言语控制轮椅。在笔记本电脑上开发了一种基于Mel频率倒谱系数(MFCC)的语音识别系统,该系统具有交互式和用户友好的GUI,并通过在车轮上安装齿轮机构并在齿轮上附加直流电机将普通轮椅转换为电动轮椅。使用Arduino Uno板从MATLAB中获取控制信号,并将其传递给继电器驱动电路,从而使轮椅朝着期望的方向运动。从使用者那里获得向前、向后、向左、向右、停止等语音输入,然后根据相应的指令做出轮椅的运动。研究了MFCC在噪声和不同语言条件下的性能,以了解该算法在不同条件下的可靠性。
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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