The premise that vehicles bring convenience to human life is to ensure the safety of people in vehicles. However, driver’s negative emotions are an important cause of risky driving, road rage, and traffic crashes, which seriously endangers traffic safety. In this paper, we proposed a driver emotion recognition method based on driver’s speech using audio features. Firstly, we extracted 6 features for speech gender recognition. After gender recognition, a combination of gender and MFCCs features were used for negative emotion recognition. Finally, a driver emotion recognition application was developed for function display.


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    Titel :

    Speech-Based Driver Emotion Recognition


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Wuhong (Herausgeber:in) / Wu, Jianping (Herausgeber:in) / Jiang, Xiaobei (Herausgeber:in) / Li, Ruimin (Herausgeber:in) / Zhang, Haodong (Herausgeber:in) / Tan, Haiqiu (Autor:in) / Zhang, Haodong (Autor:in) / Shi, Jian (Autor:in) / Sun, Dongxian (Autor:in) / Zhang, Jie (Autor:in)

    Kongress:

    International Conference on Green Intelligent Transportation System and Safety ; 2021 November 19, 2021 - November 21, 2021



    Erscheinungsdatum :

    28.10.2022


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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