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基于循环神经网络的车型识别方法

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摘要 文章介绍了车辆音频信号特征参数的提取和循环神经网络识别算法,该方法为了优化传统循环神经网络模型,在输入层中加入特征层,对模型结构进行改进。通过对四种车型的音频数据进行处理的结果表明,该模型可以有效地识别不同车型,识别准确率超过80%,可以达到基本识别要求。
作者 何家雄
出处 《西部交通科技》 2020年第10期160-162,共3页 Western China Communications Science & Technology
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  • 1Schwenk H. Continuous Space Language Models. Computer Speech and Language, 2007, 21 (3) : 492-518.
  • 2Bengio Y, Ducharme R, Vincent P, et al. A Neural Probabilistie Language Model. Journal of Machine Learning Research, 2003, 3 : 1137-1155.
  • 3Mikolov T, Karafiett M, Burger L, et al. Recurrent Neural Network Based Language Model//Proc of the 11 th Annual Conference of the International Speech Communication Association. Makuhari, Japan, 2010:1045-1048.
  • 4Mikolov T, Kombrink S, Burget L, et al. Extensions of Recurrent Neural Network Language Model// Proc of the IEEE International Conference on Acoustics , Speech and Signal Processing . Prague ,Czech Republic, 2011 : 5528-5531.
  • 5Bengio Y, Simard P, Frasconi P. Learning Long-Term Dependen- cies with Gradient Descent Is Difficult. IEEE Trans on Neural Net- works, 1994, 5(2): 157-166.
  • 6Son L H, Allauzen A, Yvon F. Measuring the Influence of Long Range Dependencies with Neural Network Language Models//Prec of the NAACL-HLT Workshop : Will We Ever Really Replace the N- gram Model.'? On the Future of Language Modeling for HLT. Man- treal, Canada, 2012:1-10.
  • 7Martens J, Sutskever I. Learning Recurrent Neural Networks with Hessian-Free Optimization [ EB/OL ]. [ 2014 - 02 - 10 ]. http:// www. icml-2011, org/papers/532_icmlpaper, pdf.
  • 8Sundermeyer M, Schltlter R, Ney H. LSTM Neural Networks for Lan- guage Modeling[EB/OL]. [2014-02-10]. http://www-i6, informatik. rwth- aachen, de/publications/download/820/Sundermeycr - 2012. pdf.
  • 9Shi Y, Wiggers P, Jonker C M. Towards Recurrent Neural Networks Language Models with Linguistic and Contextual Features//Proe of the 13th Annual Conference of the International Speech Communica- tion Association. Portland, USA, 2012:1664-1667.
  • 10Auli M, Galley M, Quirk C, et al. Joint Language and Translation Modeling with Recurrent Neural Networks // Proc of the Confe- rence on Empirical Methods in Natural Language Processing. Sea- ttle, USA, 2013:1044-1054.

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