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Google Keyword Rankings for : robust features for environmental sound classification

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https://ieeexplore.ieee.org/document/6469297
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https://www.researchgate.net/publication/261489370_Robust_features_for_environmental_sound_classification
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https://www.academia.edu/24147070/Robust_features_for_environmental_sound_classification
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https://www.semanticscholar.org/paper/Robust-features-for-environmental-sound-Sivasankaran-Prabhu/c3c86fe00b205dc144c229c43e99b867a8cc97ea
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https://www.sciencedirect.com/science/article/pii/S2667305322000539
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https://www.mdpi.com/2076-3417/12/12/5988/pdf
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https://arxiv.org/abs/1912.06808
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https://www.sciedu.ca/journal/index.php/air/article/view/1399
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2723904/
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https://paperswithcode.com/paper/learning-discriminative-and-robust-time/review/
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https://research-repository.st-andrews.ac.uk/bitstream/10023/18998/1/PerCom_2019_Sound.pdf
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https://www.cambridge.org/core/journals/apsipa-transactions-on-signal-and-information-processing/article/environmental-sound-recognition-a-survey/96211C365DC7B250CEEFFB15026A5CDF
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https://www.informatica.si/index.php/informatica/article/view/3739
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https://ui.adsabs.harvard.edu/abs/arXiv:1904.04221
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https://link.springer.com/chapter/10.1007/978-3-642-21827-9_1
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https://deepai.org/publication/feature-pyramid-attention-based-residual-neural-network-for-environmental-sound-classification
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http://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2019/Unsupervised_Feature_Learning_for_Environmental_So
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https://cse.buffalo.edu/~jsyuan/papers/2017/Sound-Event%20Classification%20Using%20Robust%20Texture%20Features%20for%20Robot%20Hearing.pdf
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https://www.researchsquare.com/article/rs-860631/v1.pdf
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https://www.frontiersin.org/articles/10.3389/fnins.2018.00836/full
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http://noiselab.ucsd.edu/ECE228-2020/projects/Report/40Report.pdf
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https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/tr-2001-79.pdf
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https://www.cs.virginia.edu/~stankovic/psfiles/CHASE_paper_finalLahiru.pdf
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https://www.hindawi.com/journals/js/2018/5828074/
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https://www.ijraset.com/research-paper/deep-convolutional-neural-networks-for-environmental-sound-classification
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https://www.arxiv-vanity.com/papers/1908.11219/
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https://techxplore.com/news/2019-05-approach-audio-classification-adversarial.html
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http://www.iro.umontreal.ca/~mignotte/Publications/IEEE_TM21b.pdf
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https://medium.datadriveninvestor.com/environmental-sound-classification-using-esc-10-dataset-83ba942a1de4
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https://zenodo.org/record/1069969/files/7948.pdf
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https://www.nowpublishers.com/article/OpenAccessDownload/SIP-026
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https://github.com/karolpiczak/ESC-50
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https://annals-csis.org/Volume_18/drp/pdf/185.pdf
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https://www.ee.columbia.edu/~dpwe/talks/HSCMA-2011-06.pdf
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http://sig-iss.work/percom2019/papers/p97-haubrick.pdf
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66
https://medium.com/ai%C2%B3-theory-practice-business/enhanced-environmental-sound-classification-with-a-cnn-1ca388748bc9
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https://theses.eurasip.org/theses/480/perceptually-based-signal-features-for/
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https://typeset.io/pdf/robust-sound-event-recognition-using-convolutional-neural-10ale1iwb6.pdf
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https://www.pnas.org/doi/10.1073/pnas.2216035119
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82
https://cn.beaujolais.com/Introduction-To-Environmental-Engineering/players?l=W8G1D8
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https://openprairie.sdstate.edu/cgi/viewcontent.cgi?article=2866&context=etd
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