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Acoustic scene classification using deep CNN with fine-resolution feature

Expert systems with applications, v.143, 2020년, pp.113067 -   

Zhang, Tao (Corresponding author.) ,  Liang, Jinhua ,  Ding, Biyun

Abstract AI-Helper 아이콘AI-Helper

Abstract Convolutional neural networks with spectrogram feature representation for acoustic scene classification are attracting more and more attentions due to its favorable performance. However, most of the existing methods are still restricted to the tradeoff between the minimum coverage area acr...

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참고문헌 (31)

  1. RCAengineer Adelson 29 6 33 1984 Pyramid methods in image processing 

  2. Bae 11 2016 Proceedings of the Detection and Classification of Acoustic Scenes and Events 2016 Workshop (DCASE2016) Acoustic scene classification using parallel combination of LSTM and CNN 

  3. Bisot 6445 2016 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP) Acoustic scene classification with matrix factorization for unsupervised feature learning 

  4. IEEE/ACM Transactions on Audio, Speech, and Language Processing Bisot 25 6 1216 2017 10.1109/TASLP.2017.2690570 Feature learning with matrix factorization applied to acoustic scene classification 

  5. Bregman 1994 Auditory scene analysis: The perceptual organization of sound 

  6. Cao 2015 Technical Report 

  7. Chollet 1251 2017 Proceedings of the IEEE conference on computer vision and pattern recognition Xception: Deep learning with depthwise separable convolutions 

  8. IEEE Transactions on Audio, Speech, and Language Processing Eronen 14 1 321 2005 10.1109/TSA.2005.854103 Audio-based context recognition 

  9. Geiger 714 2015 2015 23rd European Signal Processing Conference (EUSIPCO) Improving event detection for audio surveillance using gabor filterbank features 

  10. Geiger 1 2013 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics Large-scale audio feature extraction and SVM for acoustic scene classification 

  11. Giannoulis 1 2013 21st European Signal Processing Conference (EUSIPCO 2013) A database and challenge for acoustic scene classification and event detection 

  12. Girshick 1440 2015 Proceedings of the IEEE international conference on computer vision Fast r-cnn 

  13. Girshick 580 2014 Proceedings of the IEEE conference on computer vision and pattern recognition Rich feature hierarchies for accurate object detection and semantic segmentation 

  14. He 770 2016 Proceedings of the IEEE conference on computer vision and pattern recognition Deep residual learning for image recognition 

  15. Ioffe 448 2015 International Conference on Machine Learning Batch normalization: accelerating deep network training by reducing internal covariate shift 

  16. Parameters Kong 4 4 2018 DCASE 2018 Challenge Surrey Cross-task convolutional neural network the baseline 

  17. Krizhevsky 1097 2012 Advances in neural information processing systems Imagenet classification with deep convolutional neural networks 

  18. Lin 2117 2017 Proceedings of the IEEE conference on computer vision and pattern recognition Feature pyramid networks for object detection 

  19. Liping 29 2018 Proc. DCASE2018 Workshop Acoustic scene classification using multi-scale features 

  20. Mariotti 103 2018 Proc. DCASE Exploring deep vision models for acoustic scene classification 

  21. Mesaros 9 2018 Proc. DCASE2018 Workshop A multi-device dataset for urban acoustic scene classification 

  22. Mun 93 2017 Proc. DCASE Generative adversarial network based acoustic scene training set augmentation and selection using SVM hyper-plane 

  23. Purohit 2018 Acoustic scene classification using deep CNN on raw-waveform 

  24. Salamon 171 2015 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Unsupervised feature learning for urban sound classification 

  25. Szegedy 1 2015 Proceedings of the IEEE conference on computer vision and pattern recognition Going deeper with convolutions 

  26. Szegedy 2818 2016 Proceedings of the IEEE conference on computer vision and pattern recognition Rethinking the inception architecture for computer vision 

  27. Takahashi 2016 Acoustic scene classification using deep neural network and frame-concatenated acoustic feature 

  28. Valenti 1547 2017 2017 International Joint Conference on Neural Networks (IJCNN) A convolutional neural network approach for acoustic scene classification 

  29. Virtanen 2018 Computational analysis of sound scenes and events 

  30. Vu 2016 Acoustic scene and event recognition using recurrent neural networks 

  31. Xu 105 2016 Proc. DCASE2016 Workshop Hierarchical learning for DNN-based acoustic scene classification 

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