{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T13:37:22Z","timestamp":1780925842947,"version":"3.54.1"},"reference-count":26,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bigdata.2018.8622208","type":"proceedings-article","created":{"date-parts":[[2019,1,25]],"date-time":"2019-01-25T03:07:18Z","timestamp":1548385638000},"page":"5267-5271","source":"Crossref","is-referenced-by-count":25,"title":["Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine"],"prefix":"10.1109","author":[{"given":"Maryam","family":"Pishgar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fazle","family":"Karim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Somshubra","family":"Majumdar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Houshang","family":"Darabi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-6-23"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3109\/14015439.2010.528788"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2011.03.010"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2014.02.001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IWOBI.2017.7985525"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2856238"},{"key":"ref16","article-title":"Parallel architecture and hyperparameter search via successive halving and classification","author":"kumar","year":"2018","journal-title":"arXiv preprint arXiv 1805 10255"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2779939"},{"key":"ref18","author":"wang","year":"2018","journal-title":"2018 FEMH Voice Data Challenge"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-77592-0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2006.871883"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10877-013-9522-x"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1121\/1.1912490"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2016.08.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1044\/jslhr.4302.469"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.842962"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.annemergmed.2016.06.045"},{"key":"ref9","first-page":"65","article-title":"Voice pathologies classification using gmm and svm classifiers","author":"amara","year":"2013","journal-title":"Recent Advances in Biology Medical Physics Medical Chemistry Biochemistry and Biomedical Engineering"},{"key":"ref1","article-title":"Detection of pathological voice using cepstrum vectors: A deep learning approach","author":"fang","year":"2018","journal-title":"Journal of Voice"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2013.2244593"},{"key":"ref22","first-page":"2825","article-title":"Scikit-leam: Machine learning in python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"18","DOI":"10.25080\/Majora-7b98e3ed-003","article-title":"fibrosa: Audio and music signal analysis in python","author":"mcfee","year":"2015","journal-title":"Proceedings of the 14th Python in Science Conference"},{"key":"ref24","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv preprint arXiv 1502 01032"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref26","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":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"}],"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\/08622208.pdf?arnumber=8622208","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T23:23:40Z","timestamp":1643239420000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8622208\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2018.8622208","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}