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作者:

Lei, Hongbin (Lei, Hongbin.) | Wang, Botao (Wang, Botao.)

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EI

摘要:

As the development of vehicle sound insulation technology, drivers ignore some external sound information regularly. It is particularly important for the recognition of external sounds when the vehicle is driving. The real-Time detection of the fundamental frequency of the external sound is not accurate due to the complexity of the external environment and the noise interference. In this paper, a recognition algorithm of vehicle external specific sounds is presented. The spectrum information of the external sound is converted into an image form, and the analysis result is obtained after processing the spectrum image. We choose five different types of sounds and the total number of 1000 samples for testing. The experiment data shows that the overall accuracy of the algorithm's processing data can reach more than 90%, and the recognition rate can reach more than 90%. This algorithm has the characteristics of high accuracy and strong robustness, and it can easily be realized in real time. © Published under licence by IOP Publishing Ltd.

关键词:

Artificial intelligence Data handling Sound insulation Vehicles

作者机构:

  • [ 1 ] [Lei, Hongbin]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Wang, Botao]Faculty of Information Technology, Beijing University of Technology, Beijing, China

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ISSN: 1742-6588

年份: 2020

期: 1

卷: 1631

语种: 英文

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