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Speech Recognition on Robot Controller Implemented on FPGA

Phan Dinh Duy, Vu Duc Lung, Nguyen Quang Duy Trang, and Nguyen Cong Toan
University of Information Technology, National University Ho Chi Minh City Ho Chi Minh City, Vietnam
Abstract—This paper is about a speech recognition system for robot control using the DE2 development kit, which is being used at Computer Engineer Department of the University of Information Technology. Hardware devices of the system are an Altera DE2 development kit and a Philips SHM1000 microphone. The system includes a hardware design in the Verilog HDL and software in Embedded C for Nios II. The core of the system is the hardware on the FPGA, it includes four main components: module for receiving and converting audio signal; memory controller; FFT module and a Nios II processor. The system has 2 modes: Training and Recognition, based on the vector quantization approach.

Index Terms—speech recognition, fast fourier transform, Mel-Frequency filter, audio cepstrum, vector quantization, DE2, nios, verilog, robot control, vietnamese.

Cite: Phan Dinh Duy, Vu Duc Lung, Nguyen Quang Duy Trang, and Nguyen Cong Toan, "Speech Recognition on Robot Controller Implemented on FPGA," Journal of Automation and Control Engineering, Vol.1, No.3, pp. 274-278, Sep. 2013. doi: 10.12720/joace.1.3.274-278
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