Research on vehicle speech recognition algorithm based on multidimensional data

Zengxi Wang; Xia Pan; Yan Zong

doi:10.1117/12.2684179

1 August 2023 Research on vehicle speech recognition algorithm based on multidimensional data

Zengxi Wang, Xia Pan, Yan Zong

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127543Y (2023) https://doi.org/10.1117/12.2684179
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

With the progress of intelligent computers, the auto speech recognition function has developed rapidly. However, at present, the automatic recognition efficiency of on-board speech interaction is low and the recognition rate is poor. Even some vehicles do not display speech characters, which makes it impossible to verify whether the speech recognition is accurate. This paper proposes a multi-dimensional data method based on voice, picture data, text data, ADB data and internal changes of vehicle and machine, and improves the accuracy of vehicle borne voice recognition verification through multi-mode information fusion technology. Then, based on the parameters of speech wake-up rate recognition, false wake-up rate recognition, average wake-up time recognition, speech command response time recognition and speech command function recognition, a speech performance evaluation index model is established. Finally, the experimental results show that the verification method of multi-dimensional data speech recognition can verify the speech recognition rate and the execution rate of the vehicle in an all-round way.

Citation Download Citation

Zengxi Wang, Xia Pan, and Yan Zong "Research on vehicle speech recognition algorithm based on multidimensional data", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127543Y (1 August 2023); https://doi.org/10.1117/12.2684179

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KEYWORDS

Speech recognition

Action recognition

Speaker recognition

Intelligence systems

Cameras

Displays

Matrices

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