{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T12:14:18Z","timestamp":1774872858272,"version":"3.50.1"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.23919\/eusipco.2018.8553089","type":"proceedings-article","created":{"date-parts":[[2018,12,3]],"date-time":"2018-12-03T19:36:41Z","timestamp":1543865801000},"page":"1497-1501","source":"Crossref","is-referenced-by-count":6,"title":["Hierarchic Conv Nets Framework for Rare Sound Event Detection"],"prefix":"10.23919","author":[{"given":"Fabio","family":"Vesperini","sequence":"first","affiliation":[]},{"given":"Diego","family":"Droghini","sequence":"additional","affiliation":[]},{"given":"Emanuele","family":"Principi","sequence":"additional","affiliation":[]},{"given":"Leonardo","family":"Gabrielli","sequence":"additional","affiliation":[]},{"given":"Stefano","family":"Squartini","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2592698"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/4694860"},{"key":"ref12","first-page":"80","article-title":"Rare sound event detection using ID convolutional recurrent neural networks","author":"lim","year":"2017","journal-title":"Proc DCAS"},{"key":"ref13","first-page":"27","article-title":"Convolutional recurrent neural networks for rare sound event detection","author":"cakir","year":"2017","journal-title":"Proc DCAS"},{"key":"ref14","author":"phan","year":"2017","journal-title":"DNN and CNN with weighted and multi-task loss functions for audio event detection"},{"key":"ref15","article-title":"A hierarchic multi-scaled approach for rare sound event detection","author":"vesperini","year":"2017","journal-title":"Tech Rep"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6853982"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854054"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-63450-0_12"},{"key":"ref27","first-page":"281","article-title":"Random search for hyper-parameter optimization","volume":"13","author":"bergstra","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472176"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.04.007"},{"key":"ref5","article-title":"An end-to-end unsupervised approach employing convolutional neural network autoencoders for human fall detection","author":"droghini","year":"2017","journal-title":"Proc of WIRN99"},{"key":"ref8","first-page":"1272","article-title":"Audio context recognition using audio event histograms","author":"heittola","year":"2010","journal-title":"Proc of eusipco"},{"key":"ref7","author":"virtanen","year":"2017","journal-title":"Proc DCAS"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.06.026"},{"key":"ref9","article-title":"Healthcare audio event classification using hidden Markov models and hierarchical hidden Markov models","author":"peng","year":"2009","journal-title":"Proc of ICME"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2005.1521669"},{"key":"ref20","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc of ICMC"},{"key":"ref22","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref21","author":"zeiler","year":"2012","journal-title":"ADADELTA An Adaptive Learning Rate Method"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/EUSIPCO.2016.7760424"},{"key":"ref23","article-title":"DCASE 2017 challenge setup: Tasks, datasets and baseline system","author":"mesaros","year":"2017","journal-title":"Proc DCAS"},{"key":"ref26","author":"chollet","year":"2015","journal-title":"Keras"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/app6060162"}],"event":{"name":"2018 26th European Signal Processing Conference (EUSIPCO)","location":"Rome","start":{"date-parts":[[2018,9,3]]},"end":{"date-parts":[[2018,9,7]]}},"container-title":["2018 26th European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8537458\/8552938\/08553089.pdf?arnumber=8553089","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,1,8]],"date-time":"2019-01-08T20:20:00Z","timestamp":1546978800000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8553089\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":27,"URL":"https:\/\/doi.org\/10.23919\/eusipco.2018.8553089","relation":{},"subject":[],"published":{"date-parts":[[2018,9]]}}}