Traffic information extraction of vehicle acoustic signal based on neural networks

Zhen Shan Li*, Jian Qun Wang, Guo Zhong Yao, Xue Jun Ran

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

A method for traffic information extraction of vehicle acoustic signal based on neural networks is proposed. At first, a method of pre-processing and feature extraction of the vehicle acoustic signals is explained, and the Melfrequency cepstral coefficients are selected as the characteristic parameters of the vehicle signals. Next, the basic theory of the current most widely used neural networks - BP network (Back-Propagation Network) is introduced, and aiming the shortcoming of the BP network, the improvement method to reduce the training time of the network is proposed. At last, the experimental data is used as the sample to train the network, and the target data is recognized. The traffic information is extracted from the target data and the recognized rate can reach 90%.

源语言英语
主期刊名2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010
484-487
页数4
DOI
出版状态已出版 - 2010
活动2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010 - Changchun, 中国
期限: 24 8月 201026 8月 2010

出版系列

姓名2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010
2

会议

会议2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010
国家/地区中国
Changchun
时期24/08/1026/08/10

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