Speech-Based Driver Emotion Recognition

Haiqiu Tan; Haodong Zhang; Jian Shi; Dongxian Sun; Jie Zhang; Xiaobei Jiang; Wuhong Wang

doi:10.1007/978-981-19-5615-7_41

Speech-Based Driver Emotion Recognition

Haiqiu Tan, Haodong Zhang, Jian Shi, Dongxian Sun, Jie Zhang, Xiaobei Jiang, Wuhong Wang^*

^*此作品的通讯作者

机械与车辆学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

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.

源语言	英语
主期刊名	Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety
编辑	Wuhong Wang, Jianping Wu, Ruimin Li, Xiaobei Jiang, Haodong Zhang
出版商	Springer Science and Business Media Deutschland GmbH
页	577-587
页数	11
ISBN（印刷版）	9789811956140
DOI	https://doi.org/10.1007/978-981-19-5615-7_41
出版状态	已出版 - 2023
活动	12th International Conference on Green Intelligent Transportation Systems and Safety, 2021 - Beijing, 中国期限: 17 11月 2021 → 19 11月 2021

出版系列

姓名	Lecture Notes in Electrical Engineering
卷	944
ISSN（印刷版）	1876-1100
ISSN（电子版）	1876-1119

会议

会议	12th International Conference on Green Intelligent Transportation Systems and Safety, 2021
国家/地区	中国
市	Beijing
时期	17/11/21 → 19/11/21

访问文件

10.1007/978-981-19-5615-7_41

其它文件与链接

链接到 Scopus 的出版物

引用此

Tan, H., Zhang, H., Shi, J., Sun, D., Zhang, J., Jiang, X., & Wang, W. (2023). Speech-Based Driver Emotion Recognition. 在 W. Wang, J. Wu, R. Li, X. Jiang, & H. Zhang (编辑), Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety (页码 577-587). (Lecture Notes in Electrical Engineering; 卷 944). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-5615-7_41

Tan, Haiqiu ; Zhang, Haodong ; Shi, Jian 等. / Speech-Based Driver Emotion Recognition. Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. 编辑 / Wuhong Wang ; Jianping Wu ; Ruimin Li ; Xiaobei Jiang ; Haodong Zhang. Springer Science and Business Media Deutschland GmbH, 2023. 页码 577-587 (Lecture Notes in Electrical Engineering).

@inproceedings{578c3685020340dea50682ca515b8cbd,

title = "Speech-Based Driver Emotion Recognition",

abstract = "The premise that vehicles bring convenience to human life is to ensure the safety of people in vehicles. However, driver{\textquoteright}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{\textquoteright}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.",

keywords = "Driver emotion, MFCCs, Psychological state, Speech emotion recognition, Traffic safety",

author = "Haiqiu Tan and Haodong Zhang and Jian Shi and Dongxian Sun and Jie Zhang and Xiaobei Jiang and Wuhong Wang",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 12th International Conference on Green Intelligent Transportation Systems and Safety, 2021 ; Conference date: 17-11-2021 Through 19-11-2021",

year = "2023",

doi = "10.1007/978-981-19-5615-7_41",

language = "English",

isbn = "9789811956140",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "577--587",

editor = "Wuhong Wang and Jianping Wu and Ruimin Li and Xiaobei Jiang and Haodong Zhang",

booktitle = "Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety",

address = "Germany",

}

Tan, H, Zhang, H, Shi, J, Sun, D, Zhang, J, Jiang, X & Wang, W 2023, Speech-Based Driver Emotion Recognition. 在 W Wang, J Wu, R Li, X Jiang & H Zhang (编辑), Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. Lecture Notes in Electrical Engineering, 卷 944, Springer Science and Business Media Deutschland GmbH, 页码 577-587, 12th International Conference on Green Intelligent Transportation Systems and Safety, 2021, Beijing, 中国, 17/11/21. https://doi.org/10.1007/978-981-19-5615-7_41

Speech-Based Driver Emotion Recognition. / Tan, Haiqiu; Zhang, Haodong; Shi, Jian 等.
Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. 编辑 / Wuhong Wang; Jianping Wu; Ruimin Li; Xiaobei Jiang; Haodong Zhang. Springer Science and Business Media Deutschland GmbH, 2023. 页码 577-587 (Lecture Notes in Electrical Engineering; 卷 944).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Speech-Based Driver Emotion Recognition

AU - Tan, Haiqiu

AU - Zhang, Haodong

AU - Shi, Jian

AU - Sun, Dongxian

AU - Zhang, Jie

AU - Jiang, Xiaobei

AU - Wang, Wuhong

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Driver emotion

KW - MFCCs

KW - Psychological state

KW - Speech emotion recognition

KW - Traffic safety

UR - http://www.scopus.com/inward/record.url?scp=85142768362&partnerID=8YFLogxK

U2 - 10.1007/978-981-19-5615-7_41

DO - 10.1007/978-981-19-5615-7_41

M3 - Conference contribution

AN - SCOPUS:85142768362

SN - 9789811956140

T3 - Lecture Notes in Electrical Engineering

SP - 577

EP - 587

BT - Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety

A2 - Wang, Wuhong

A2 - Wu, Jianping

A2 - Li, Ruimin

A2 - Jiang, Xiaobei

A2 - Zhang, Haodong

PB - Springer Science and Business Media Deutschland GmbH

T2 - 12th International Conference on Green Intelligent Transportation Systems and Safety, 2021

Y2 - 17 November 2021 through 19 November 2021

ER -

Tan H, Zhang H, Shi J, Sun D, Zhang J, Jiang X 等. Speech-Based Driver Emotion Recognition. 在 Wang W, Wu J, Li R, Jiang X, Zhang H, 编辑, Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. Springer Science and Business Media Deutschland GmbH. 2023. 页码 577-587. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-19-5615-7_41

Speech-Based Driver Emotion Recognition

摘要

出版系列

会议

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引用此