{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T00:05:49Z","timestamp":1772150749701,"version":"3.50.1"},"reference-count":39,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1109\/apsipa.2017.8282229","type":"proceedings-article","created":{"date-parts":[[2018,2,14]],"date-time":"2018-02-14T20:31:33Z","timestamp":1518640293000},"page":"1243-1247","source":"Crossref","is-referenced-by-count":15,"title":["Automatic identification of pathological voice quality based on the GRBAS categorization"],"prefix":"10.1109","author":[{"given":"Akira","family":"Sasou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Acoustic surveillance based on higher-order local auto-correlaton","author":"sasou","year":"2011","journal-title":"proc of MLSP2011"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/BLISS.2008.25"},{"key":"ref33","first-page":"704","article-title":"Glottal Excitation Modeling Using HMM with Application to Robust Analysis of Speech Signal","volume":"iv","author":"sasou","year":"2000","journal-title":"Proc ICSLP"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2016.7820679"},{"key":"ref31","article-title":"Automatic Topology Generation of Glottal Source HMM","author":"sasou","year":"2012","journal-title":"Proc of lnterspeech2012"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1975.9792"},{"key":"ref37","year":"0"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvoice.2005.08.007"},{"key":"ref35","article-title":"Clinical Examination of Voice","author":"hirano","year":"1981","journal-title":"New York Springer-Verlag"},{"key":"ref34","first-page":"431","article-title":"A new scheme for practical flexible and intelligent vision systems","author":"otsu","year":"1988","journal-title":"Proc of IAPR Workshop on Computer Vision"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1515\/amcs-2015-0046"},{"key":"ref11","first-page":"112","article-title":"Acoustic Analysis for Detection of Voice Disorders Using Adaptive Features and Classifiers","author":"fezari","year":"2014","journal-title":"Proc of Circuit Sys and Cont"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5120\/10089-4722"},{"key":"ref13","article-title":"Artificial Neural Network Based Pathological Voice Classification Using MFCC Features","volume":"3","author":"srinivasan","year":"2014","journal-title":"International Journal of Environmental Science &amp; Technology"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2006.260603"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-015-1016-2"},{"key":"ref16","first-page":"111","article-title":"Automatic GRBAS Assessment Using Complexity Measures and a Multiclass GMM-Based Detector","author":"arias-londo\u00f1o","year":"2011","journal-title":"MAVEBA2011"},{"key":"ref17","article-title":"Automatic Assessment of Voice Signals According to the GRBAS Scale","author":"jalalinajafabadi","year":"2014","journal-title":"ACM womENcourage"},{"key":"ref18","article-title":"Automatic assessment of voice signals according to the GRBAS scale using modulation spectra, Mel frequency Cepstral Coefficients and Noise parmeters","author":"villa-canas","year":"2013","journal-title":"Image Signal Processing and Artificial Vision (STSIVA)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1155\/2009\/748207"},{"key":"ref28","first-page":"35","article-title":"A Statistical Method for Estimation of Speech Spectral Density and Formant Frequencies","volume":"j53 a","author":"itakura","year":"1970","journal-title":"IEICE-A"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2006.06.003","article-title":"Methological Issues in the Development of Automatic Systems for Voice Pathology Detection","volume":"1","author":"saenz-lechon","year":"2006","journal-title":"Biomed Signal Process Contro"},{"key":"ref27","first-page":"704","article-title":"Glottal Excitation Modeling Using HMM with Application to Robust Analysis of Speech Signal","volume":"iv","author":"sasou","year":"2000","journal-title":"Proc ICSLP"},{"key":"ref3","first-page":"99","article-title":"Voica Pathology Detection on the Saarbrucken Voice Database with Calibration and Fusion of Scores Using MultiFocal Toolkit","author":"martinez","year":"2001","journal-title":"IberSPEECH2012 CCIS 328"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/10.486257"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1121\/1.1912679"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1044\/jslhr.4302.469"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2002.1134447"},{"key":"ref7","first-page":"1","article-title":"On Combining information from modulation spectra and mel-frequency cepstral coefficients for automatic detection of pathological voices","author":"arias-londono","year":"2010","journal-title":"Logopedics Phoniatrics Vocology"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2006.06.003"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.rbmret.2005.05.002"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1515\/amcs-2015-0046"},{"key":"ref20","article-title":"Clinical Examination of Voice","author":"hirano","year":"1981","journal-title":"Springer New York"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2006.259835"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvoice.2006.09.010"},{"key":"ref24","first-page":"8702","article-title":"Normal and Organic Pathology Classification of Female Voices Using SVM Classifier","volume":"11","author":"belhaj","year":"2016","journal-title":"Int J App Eng Res"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2008.01.008"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2008.09.005"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2010.2104141"}],"event":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","location":"Kuala Lumpur","start":{"date-parts":[[2017,12,12]]},"end":{"date-parts":[[2017,12,15]]}},"container-title":["2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8270695\/8281978\/08282229.pdf?arnumber=8282229","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,28]],"date-time":"2020-10-28T04:58:32Z","timestamp":1603861112000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8282229\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/apsipa.2017.8282229","relation":{},"subject":[],"published":{"date-parts":[[2017,12]]}}}