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


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



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


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.


D. Johnson, “2 people dead after car falls 4 stories from downtown Indianapolis parking garage,”, October 23, 2019.

“Another driver narrowly escapes FDA car park plunge,”, November 28, 2019.

T. Cook, R. Martin, E. Hopkins, and T. Evans, “Simple mistakes can lead to cars falling from parking garages in freak accidents,”, October 30, 2019.

M. Yukawa, K. Sonoda, and T. Wada, “Auditory assist method to indicate steering start timing in reverse parking for improvement of driver performance,” IEEE Transactions on Intelligent Vehicles, vol. 5, no. 1, pp. 32-40, November 2019.

D. Kiss and G. Tevesz, “Autonomous path planning for road vehicles in narrow environments: An efficient continuous curvature approach,” Journal of Advanced Transportation, vol. 2017, pp. 1-27, October 2017.

D. Buljeta, M. Vranjes, Z. Marceta, and J. Kovacevic, “Surround view algorithm for parking assist system,” Zooming Innovation in Consumer Technologies Conference, IEEE Press, May 2019, pp. 21-26.

S. Prongnuch, M. Ardwichai, N. Pong-ngam and A. Chana, A. Thitinaruemit, P. Uttaphut, and N. Areerachakul, “Embedded system design for car park prototype by voice controlled,” Proc. Suan Sunandha Rajabhat University National Conference, March 2016, pp. 3034-3047 (in Thai).

S. Prongnuch and S. Sitjongsataporn, “Exterior car parking assistance algorithm in reconfigurable system-on-chip,” unpublished.

R. Burgess, “Honda bucks industry trend by removing touchscreen controls,”, March 30, 2020.

K. Marso and D. Macko, “A new parking-space detection system using prototype devices and bluetooth low energy communication,” International Journal of Engineering and Technology Innovation, vol. 9, no. 2, pp. 108-118, August 2018.

L. Lima, V. Furtado, E. Furtado, and V. Almeida, “Empirical analysis of bias in voice-based personal assistants,” The 2019 World Wide Web Conference, May 2019, pp. 533-538.

L. Liu, S. Zhu, D. He, Y. Ma, X. Zhang, J. Huang, and J. Li, “Design and realization of intelligent voice-control car based on Raspberry Pi,” International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, Springer press, October 2018, pp. 87-95.

A. Caranica, H. Cucu, C. Burileanu, F. Portet, and M. Vacher, “Speech recognition results for voice-controlled assistive applications,” 2017 International Conference on Speech Technology and Human-Computer Dialogue, IEEE Press, July 2017, pp. 1-8.

O. Lavrynenko, G. Konakhovych, and D. Bakhtiiarov, “Method of voice control functions of the UAV,” 4th International Conference on Methods and Systems of Navigation and Motion Control, IEEE Press, October 2016, pp. 47-50.

S. Young, G. Evermann, M. Gales, T. Hain, D. Kershaw, and X. Liu, et al., The HTK book, vol. 3, no. 175, Cambridge university engineering department, 2009.

X. Huang, A. Acero, A. Acero, and H. W. Hon, Spoken Language Processing: A Guide To Theory, Algorithm, and System Development, New Jersey: Prentice Hall, 2001.

L. Shi, I. Ahmad, Y. He, and K. Chang, “Hidden Markov model based drone sound recognition using MFCC technique in practical noisy environments,” Journal of Communications and Networks, vol. 20, no. 5, pp. 509-518, November 2018.

J. Benesty, J. Chen, Y. Huang, and I. Cohen, Noise Reduction in Speech Processing, New York: Springer Science & Business Media, 2009.

S. Prongnuch, S. Sitjongsataporn, and T. Wiangtong, “A heuristic approach for scheduling in heterogeneous distributed embedded systems,” International Journal of Intelligent Engineering and Systems, vol. 13, no. 1, pp. 135-145, November. 2019.

J. Benesty, Fundamentals of Speech Enhancement, Springer Briefs in Electrical and Computer Engineering, Springer, 2018.

Siri team, “Personalized Hey Siri,” Machine Learning Journal, vol. 1, no. 9, April 2018.




How to Cite

S. Prongnuch and S. Sitjongsataporn, “Thai Voice-Controlled Analysis for Car Parking Assistance in System-on-Chip Architecture”, Adv. technol. innov., vol. 5, no. 4, pp. 203–215, Sep. 2020.