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Wheelchair control using speech recognition

机译:使用语音识别的轮椅控制

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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.
机译:本文开发了一种适用于肢体残疾人的语音控制轮椅,该轮椅可用于不同的语言。在笔记本电脑中开发了使用梅尔频率倒谱系数(MFCC)的语音识别系统,具有交互式且用户友好的GUI,并且通过将齿轮机构应用于齿轮,并将直流电机连接至齿轮,将普通轮椅转换为电动轮椅。 Arduino Uno板用于从MATLAB获取控制信号,并将其提供给中继驱动器电路,该电路将导致轮椅沿所需方向运动。从用户获取诸如向前,向后,向左,向右和停止的语音输入,然后根据相应命令进行轮椅的运动。为了了解算法在不同条件下的可靠性,研究了在存在噪声和不同语言的情况下MFCC的性能。

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