{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T03:05:18Z","timestamp":1785207918714,"version":"3.55.0"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bigdata.2018.8622587","type":"proceedings-article","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T22:07:18Z","timestamp":1548367638000},"page":"5181-5186","source":"Crossref","is-referenced-by-count":27,"title":["Audio IoT Analytics for Home Automation Safety"],"prefix":"10.1109","author":[{"given":"Sayed Khushal","family":"Shah","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeenat","family":"Tariq","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yugyung","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2014.2306328"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2037556.2037602"},{"key":"ref12","article-title":"Convolutional recurrent neural networks for music classification","author":"choi","year":"2016","journal-title":"arXiv preprint arXiv 1609 09861"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2657381"},{"key":"ref14","article-title":"Music genre classification using a hierarchical long short term memory (lstm) model","author":"tang","year":"2018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472917"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472068"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2006.1661400"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"18","DOI":"10.25080\/Majora-7b98e3ed-003","article-title":"librosa: Audio and music signal analysis in python","author":"mcfee","year":"2015","journal-title":"Proceedings of the 14th Python in Science Conference"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1995.479804"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2016.01.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/9780470515181"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2750858.2804262"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1561\/2000000039"},{"key":"ref8","first-page":"526","article-title":"Stress detection using wearable physiological sensors","author":"sandulescu","year":"2015","journal-title":"Int Work-Conf on the Interplay between Natural and Artifical Computation"},{"key":"ref7","first-page":"1","article-title":"Environmental sound classification with convolutional neural networks","author":"piczak","year":"2015","journal-title":"Machine Learning for Signal Processing (MLSP) 2015 IEEE 25th International Workshop on"},{"key":"ref2","first-page":"32","article-title":"Sensors empower the","volume":"55","author":"conner","year":"2010","journal-title":"internet of things\" \" EDN (Electrical Design News)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICECC.2011.6066743"},{"key":"ref9","article-title":"On the application of big data techniques to noise monitoring of smart cities","author":"navarro","year":"0"},{"key":"ref20","first-page":"1","article-title":"Mel frequency cepstral coefficients for music modeling","volume":"270","author":"logan","year":"2000","journal-title":"ISMIR"},{"key":"ref22","first-page":"3288","article-title":"Convolutional neural networks applied to house numbers digit classification","author":"sermanet","year":"2012","journal-title":"Pattern Recognition (ICPR) 2012 21st International Conference on"},{"key":"ref21","first-page":"403","author":"humphrey","year":"2012","journal-title":"ISMIR"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-2766-4_7"},{"key":"ref23","year":"0","journal-title":"Freesound dataset - explore"}],"event":{"name":"2018 IEEE International Conference on Big Data (Big Data)","location":"Seattle, WA, USA","start":{"date-parts":[[2018,12,10]]},"end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8610059\/8621858\/08622587.pdf?arnumber=8622587","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T18:50:09Z","timestamp":1643223009000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8622587\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2018.8622587","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}