Research on testing methods for intelligent cockpit voice interaction performance based on speech and vision

Zengxi Wang; Xuezhen Ma; Jiangtao Ma

doi:10.1117/12.3038797

7 August 2024 Research on testing methods for intelligent cockpit voice interaction performance based on speech and vision

Zengxi Wang, Xuezhen Ma, Jiangtao Ma

Author Affiliations +

Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 132293D (2024) https://doi.org/10.1117/12.3038797
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China

Abstract

In response to the current situation of low voice wake-up rate, low recognition rate, false wake-up, false recognition, and recognition errors in car voice interaction, which cannot be detected after execution, manual error correction verification is required. However, manual testing faces a large number of test cases and is prone to negligence. Based on the visual recognition technology of artificial intelligence, this article can automate testing and calculate the car voice wake-up rate, recognition rate, false wake-up, false recognition, and word error rate. Thus, problems can be identified and corrected in a timely manner, improving work efficiency and accuracy, thereby improving the accuracy of in vehicle speech recognition and the recognition rate of speech execution.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zengxi Wang, Xuezhen Ma, and Jiangtao Ma "Research on testing methods for intelligent cockpit voice interaction performance based on speech and vision", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 132293D (7 August 2024); https://doi.org/10.1117/12.3038797

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