Environmental sound classification based on feature fusion

Huimin Zhao; Xianglin Huang; Wei Liu; Lifang Yang

doi:10.1051/matecconf/201817303059

All issues

Volume 173 (2018)

MATEC Web Conf., 173 (2018) 03059

References

Open Access

Issue		MATEC Web Conf. Volume 173, 2018 2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)


Article Number		03059
Number of page(s)		5
Section		Digital Signal and Image Processing
DOI		https://doi.org/10.1051/matecconf/201817303059
Published online		19 June 2018

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[1] Karol J Piczak. 2015, ESC: Dataset for environmental sound classification. in Proc. ACM International Conference on Multimedia, 2015, 9(2):1015-1018. [CrossRef] [Google Scholar]

[2] Yusuf Aytar, Carl Vondrick, Antonio Torralba. 2016 "SoundNet:Learning Sound Representations from Unlabeled Video," in Proc. NIPS 2016. [Google Scholar]

[3] Yuji Tokozume, T Harada. 2017 "Learning environmental sounds with end-to-end convolutional neural network," in Proc. ICASSP, 2017, 2721-2725. [Google Scholar]

[4] Karol J Piczak. 2015, Environmental sound classification with convolutionalneural networks. In Proc. MLSP, 2015, 1-6. [Google Scholar]

[5] Qiuying Shi. 2016. Deep learning-based and transfer learning-based enviorment sound recognition. in Proc. 2016 [Google Scholar]

[6] De Liang. 2015. Deep Neural Networks for Chinese Speech Recognition. In Proc. 2015. [Google Scholar]

[7] Lingli Ling. 2011. Environmental Sound Classification Based on HMM and SVM. In Proc. Computer Era, 59-61, 2011. [Google Scholar]

[8] Qingqing Yu, Ying Li, Yong Li. 2011. Natural sounds recognition using GMM distribution. In Proc, Computer Engineering and Applications, 2011,47(25): 152-155. [Google Scholar]

[9] Burak Uzkent, Hakan Cevikalp, Buket D. Barkana. 2012. Non-speech environmental sound classification using SVMs with a new set of features. In Proc, IJIC. [Google Scholar]