Thai Voice-Controlled Analysis for Car Parking Assistance in System-on-Chip Architecture

Sethakarn Prongnuch; Suchada Sitjongsataporn

doi:10.46604/aiti.2020.5597

Authors

Sethakarn Prongnuch Department of Computer Engineering, Suan Sunandha Rajabhat University, Bangkok, Thailand
Suchada Sitjongsataporn Department of Electronic Engineering, Mahanakorn University of Technology, Bangkok, Thailand

DOI:

https://doi.org/10.46604/aiti.2020.5597

Keywords:

speech recognition, voice-controlled parking assist, reconfigurable embedded systems, system-on-chip

Abstract

This paper introduces an analysis of Thai speech recognition for controlled car parking assist in the system-on-chip architecture. The objective is to investigate the male and female voice command signals, including Thai and English words, issued by the native Thai users. Hardware and software co-design by the Xilinx VIVADO are designed on an ARM multicore processor and a reconfigurable system on a ZYBO board. The experiments for Thai and English word recognition are conducted by using the Mel-frequency cepstral coefficient approach and presented in the form of spectrograms. The comparison of a voice command via Bluetooth and a reference command stored on an SD card and the ZYBO embedded board on a miniature electric vehicle is verified with the Pearson’s correlation coefficient (PCC). The experimental results show the accuracies of the received Thai/English, male/female, and indoor/outdoor voice commands as compared with the reference voice commands in the noisy surroundings. Hence, our system can support Thai/English and male/female voice commands to perform a set of actions for maneuvering a car by the PCC.

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