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Generative Adversarial Networks based Acoustic Scene Training Set Augmentation and Selection using SVM Hyperplane. In Detection and classification of acoustic scenes and events workshop (DCASE), Munich, Germany."},{"key":"10.1016\/j.eswa.2023.120520_b112","series-title":"Data augmentation approaches for improving animal audio classification","author":"Nanni","year":"2019"},{"key":"10.1016\/j.eswa.2023.120520_b113","series-title":"DCASE 2020 task 3: Ensemble of sequence matching networks for dynamic sound event localization, detection, and tracking","author":"Nguyen","year":"2020"},{"key":"10.1016\/j.eswa.2023.120520_b114","unstructured":"Nguyen, T., & Pernkopf, F. (2018). Acoustic Scene Classification using a Convolutional Neural Network Ensemble and Nearest Neighbor Filters. 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(2017). Deep Sequential Image Features for Acoustic Scene Classification. In Detection and classification of acoustic scenes and eventsworkshop (DCASE), Munich, Germany."},{"issue":"4","key":"10.1016\/j.eswa.2023.120520_b129","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1109\/TSA.2005.848882","article-title":"Active learning: theory and applications to automatic speech recognition","volume":"13","author":"Riccardi","year":"2005","journal-title":"IEEE Transactions on Speech and Audio Processing"},{"key":"10.1016\/j.eswa.2023.120520_b130","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1016\/j.procs.2019.11.177","article-title":"A review on data cleansing methods for big data","volume":"161","author":"Ridzuan","year":"2019","journal-title":"Procedia Computer Science"},{"key":"10.1016\/j.eswa.2023.120520_b131","unstructured":"Roletscheck, C., Watzka, T., Seiderer, A., Schiller, D., & Andre, E. (2019). Using an Evolutionary Approach To Explore Convolutional Neural Networks for Acoustic Scene Classification. 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In Detection and classification of acoustic scenes and events workshop (DCASE),Budapest, Hungary, 3 September 2016."},{"key":"10.1016\/j.eswa.2023.120520_b146","series-title":"2013 International conference on cyber-enabled distributed computing and knowledge discovery","article-title":"The architecture and design of a community-based cloud platform for curating big data","author":"Sowe","year":"2013"},{"key":"10.1016\/j.eswa.2023.120520_b147","series-title":"2021 6th international conference for convergence in technology","article-title":"Acoustic scene classification using deep learning architectures","author":"Spoorthy","year":"2021"},{"issue":"2","key":"10.1016\/j.eswa.2023.120520_b148","first-page":"3","article-title":"Data integration: The current status and the way forward","volume":"41","author":"Stonebrake","year":"2018","journal-title":"IEEE Data Engineering Bulletin"},{"key":"10.1016\/j.eswa.2023.120520_b149","unstructured":"Stonebraker, M., Bruckner, D., Ilyas, I. 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In Proceedings of the detection and classification of acousticscenes and events 2017 workshop."},{"key":"10.1016\/j.eswa.2023.120520_b159","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.dsp.2017.12.012","article-title":"Classification of audio scenes with novel features in a fused system framework","volume":"75","author":"Waldekar","year":"2018","journal-title":"Digital Signal Processing"},{"key":"10.1016\/j.eswa.2023.120520_b160","series-title":"2017 IEEE international conference on acoustics, speech and signal processing","article-title":"Trainable frontend for robust and far-field keyword spotting","author":"Wang","year":"2017"},{"issue":"4","key":"10.1016\/j.eswa.2023.120520_b161","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1145\/2935694.2935702","article-title":"Cleanix:A big data cleaning parfait","volume":"44","author":"Wang","year":"2016","journal-title":"ACM SIGMOD Record"},{"key":"10.1016\/j.eswa.2023.120520_b162","series-title":"SpecAugment++: A hidden space data augmentation method for acoustic scene classification","author":"Wang","year":"2021"},{"key":"10.1016\/j.eswa.2023.120520_b163","series-title":"Proceedings of the detection and classification of acoustic scenes and events 2019 workshop","article-title":"Open-set acoustic scene classification with deep convolutional autoencoders","author":"Wilkinghoff","year":"2019"},{"issue":"1","key":"10.1016\/j.eswa.2023.120520_b164","doi-asserted-by":"crossref","DOI":"10.1214\/07-AOAS147","article-title":"Coordinate descent algorithms for lasso penalized regression","volume":"2","author":"Wu","year":"2008","journal-title":"The Annals of Applied Statistics"},{"key":"10.1016\/j.eswa.2023.120520_b165","series-title":"ICASSP 2019 - 2019 IEEE international conference on acoustics, speech and signal processing","article-title":"Enhancing sound texture in CNN-based acoustic scene classification","author":"Wu","year":"2019"},{"issue":"8","key":"10.1016\/j.eswa.2023.120520_b166","doi-asserted-by":"crossref","first-page":"3433","DOI":"10.1007\/s00034-019-01094-1","article-title":"A survey: Neural network-based deep learning for acoustic event detection","volume":"38","author":"Xia","year":"2019","journal-title":"Circuits, Systems, and Signal Processing"},{"key":"10.1016\/j.eswa.2023.120520_b167","series-title":"2018 IEEE international symposium on multimedia","article-title":"Acoustic scene classification using reduced mobile net architecture","author":"Xu","year":"2018"},{"key":"10.1016\/j.eswa.2023.120520_b168","series-title":"Proceedings of the 2013 international conference on management of data","article-title":"Don\u2019t be SCAREd","author":"Yakout","year":"2013"},{"key":"10.1016\/j.eswa.2023.120520_b169","series-title":"Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition","article-title":"Face recognition using temporal image sequence","author":"Yamaguchi","year":"2002"},{"key":"10.1016\/j.eswa.2023.120520_b170","unstructured":"Yang, L., Chen, X., & Tao, L. (2018). Acoustic Scene Classification using Multi-Scale Features. 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