Skip to main content
SpringerLink
Log in

Design and Realization of Intelligent Voice-Control Car Based on Raspberry Pi

  • Conference paper
  • First Online:
Advances in Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 128))

Abstract

This paper introduces an intelligent voice-control car based on Raspberry Pi. The user’s speech is recorded and uploaded to Baidu cloud to be recognized and analyzed by Baidu speech recognition technology. The intelligent car movement can be controlled according to the returned recognition results if control commands included. Meanwhile, Turing robot technology enables the car to dialogue with the users. The car can also be remotely controlled by using computers and other intelligent devices in real time. The testing shows that no matter it is on-site operation or remote operation, the car can work efficiently with high correction of speech recognition.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yi, K., Tian, B., Fu, Q.: Design and realization of vehicle speech recognition and control system. Comput. Appl. Softw. 34(5), 129–134 (2017)

    Google Scholar 

  2. Yang, H., Chi, H., et al.: Speech Signal Digital Processing. Electronics Industry Press (1995)

    Google Scholar 

  3. Rabiner, L., Juang, B.H.: Fundamentals of Speech Recognition. Tsinghua University Press (1999)

    Google Scholar 

  4. Rabiner, L.R.: A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 71(2), 257–285 (1989)

    Article  Google Scholar 

  5. Dai, S.: Design of Vehicle Speech Recognition and Control System. Chongqing University of Posts and Telecommunications (2011)

    Google Scholar 

  6. Pan, Y.: Research on Speech Recognition System Based on Improved HMM/SVM Architecture. Lanzhou University (2009)

    Google Scholar 

  7. Raspberry Pi Hardware [EB/OL]. https://www.raspberrypi.org/documentation/hardware/

  8. Application of convolution neural network (CNN) in speech recognition [EB/OL]. https://www.cnblogs.com/qcloud1001/p/7941158.html?utm_source=debugrun&utm_medium=referral. Accessed 01 Dec 2017

Download references

Acknowledgement

The authors would like to thank the anonymous reviewers for their valuable comments. This work was supported by Initial Scientific Research Fund of FJUT (GY-Z12079), Pre-research Fund of FJUT (GY-Z13018), Fujian Provincial Education Department Youth Fund (JAT170367,JAT170369), Natural Science Foundation of Fujian Province (2018J01640) and China Scholarship Council(201709360002).

Author information

Authors and Affiliations

  1. Technical Development Base of Industrial Integration Automation of Fujian Province, Fujian University of Technology, Fuzhou, 350118, China

    Lisang Liu, Shaoping Zhu, Dongwei He, Ying Ma, Xiuzhen Zhang, Jing Huang & Junnan Li

  2. FuJian Key Laboratory of A.E.D, Fujian University of Technology, Fuzhou, 350118, China

    Lisang Liu

  3. National Demonstration Center for Experimental Electronic Information and Electrical Technology Education, Fujian University of Technology, Fuzhou, 350118, China

    Dongwei He, Ying Ma & Jing Huang

Authors
  1. Lisang Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shaoping Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dongwei He
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ying Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xiuzhen Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jing Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Junnan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lisang Liu .

Editor information

Editors and Affiliations

  1. College of Physics and Energy, Fujian Normal University, Fuzhou, Fujian, China

    Yong Zhao

  2. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Tsu-Yang Wu

  3. School of Transportation, Fujian University of Technology, Fuzhou, Fujian, China

    Tang-Hsien Chang

  4. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  5. University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, L. et al. (2019). Design and Realization of Intelligent Voice-Control Car Based on Raspberry Pi. In: Zhao, Y., Wu, TY., Chang, TH., Pan, JS., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2018. Smart Innovation, Systems and Technologies, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-030-04585-2_11

Download citation

Publish with us

Policies and ethics

Search

Navigation