Controlling Robots Using Thai Speech Recognition

Abstract:

Maximum security is essential for a robotic device to achieve its optimum control. In this research, we present robotic motions, controlled by technological speech recognition techniques, using commands of Thai Speech Recognition (TSR). Examples of such speech words used are; Sai, Khwa, Na, Lang Khun, Long and Yood, which are the equivalent English language representations for; turn left, turn right, forwards, backwards, upwards, downwards, and stop, respectively. The speech commands are independent for any particular user and so, as a result, they are highly beneficial for general and practical use. The three main important parts of this paper comprise; Pre-processing, Discrete Fourier Transform (DFT), and Back Propagation Neural Network (BPN). The experimental results, when reviewed, exhibit results showing that the average accuracy percentages are equal to 71.00% for female commands, and 70.00% for male commands, respectively.

• Periodical: Advanced Materials Research (Volumes 931-932)
• Pages: 1285-1290
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.931-932.1285
• Online since: May 2014
• Authors: Tanasak Phanprasit*
• Keywords: Artificial Neural Network (ANN), Discrete Fourier Transform, Radial Basis Function (RBF), Speech Recognition

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