Design of voice control system for unmanned vehicle based on ESP32

In order to improve the convenience of operating unmanned vehicle, this paper designs a voice control system for unmanned vehicle. The system uses ESP32 microcontroller as the core controller and ASRPRO chip as the speech recognition module, realizing the voice control function of unmanned vehicle. On this basis, the voice control system also integrates ultrasonic obstacle avoidance module and OLED display function, which effectively improves the intelligence level of the unmanned vehicle. Related tests have shown that the speech command recognition rate of unmanned vehicle in indoor scenes is over 90%, and the speech command recognition rate in noisy urban areas is over 70%. Due to the effect of voice intensity, the recognition rate of voice commands is relatively low at long distances outdoors. In addition, the clarity of the tester's pronunciation a nd external noise also have a significant impact on the speech recognition rate. The relevant research in this article can provi de reference for the further application of unmanned vehicle.

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Publication Details

Journal
IET conference proceedings.
Published
2025-01-09
DOI
https://doi.org/10.1049/icp.2024.4270
Citations
1
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.73
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article

Design of voice control system for unmanned vehicle based on ESP32

L. Li, Hengzheng Li, Yunlong Guo
1 citations
IET conference proceedings.
IoT-based Smart Home Systems
0.73
article

Design of voice control system for unmanned vehicle based on ESP32

L. Li, Hengzheng Li, Yunlong Guo
article en
1 citations

Abstract

In order to improve the convenience of operating unmanned vehicle, this paper designs a voice control system for unmanned vehicle. The system uses ESP32 microcontroller as the core controller and ASRPRO chip as the speech recognition module, realizing the voice control function of unmanned vehicle. On this basis, the voice control system also integrates ultrasonic obstacle avoidance module and OLED display function, which effectively improves the intelligence level of the unmanned vehicle. Related tests have shown that the speech command recognition rate of unmanned vehicle in indoor scenes is over 90%, and the speech command recognition rate in noisy urban areas is over 70%. Due to the effect of voice intensity, the recognition rate of voice commands is relatively low at long distances outdoors. In addition, the clarity of the tester's pronunciation a nd external noise also have a significant impact on the speech recognition rate. The relevant research in this article can provi de reference for the further application of unmanned vehicle.

IET conference proceedings.Vol. 2024(21)
Suzhou University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 32%
IoT-based Smart Home Systems
0.73
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Design of voice control system for unmanned vehicle based on ESP32 — L. Li, Hengzheng Li, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS