{"id":"https://openalex.org/W3095762334","doi":"https://doi.org/10.1109/coginfocom50765.2020.9237866","title":"Using ASR Posterior Probability and Acoustic Features for Voice Disorder Classification","display_name":"Using ASR Posterior Probability and Acoustic Features for Voice Disorder Classification","publication_year":2020,"publication_date":"2020-09-23","ids":{"openalex":"https://openalex.org/W3095762334","doi":"https://doi.org/10.1109/coginfocom50765.2020.9237866","mag":"3095762334"},"language":"en","primary_location":{"id":"doi:10.1109/coginfocom50765.2020.9237866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom50765.2020.9237866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065312432","display_name":"Mikl\u00f3s G\u00e1briel Tulics","orcid":null},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Miklos Gabriel Tulics","raw_affiliation_strings":["Budapest University of Technology and Economics, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043901293","display_name":"Gy\u00f6rgy Szasz\u00e1k","orcid":null},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Gyorgy Szaszak","raw_affiliation_strings":["Budapest University of Technology and Economics, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059682947","display_name":"Krisztina M\u00e9sz\u00e1ros","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119956","display_name":"National Institute of Oncology","ror":"https://ror.org/02kjgsq44","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I4210119956"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Krisztina Meszaros","raw_affiliation_strings":["National Institute of Oncology, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"National Institute of Oncology, Budapest, Hungary","institution_ids":["https://openalex.org/I4210119956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088818569","display_name":"Kl\u00e1ra Vicsi","orcid":"https://orcid.org/0000-0002-7828-6833"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Klara Vicsi","raw_affiliation_strings":["Budapest University of Technology and Economics, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065312432"],"corresponding_institution_ids":["https://openalex.org/I29770179"],"apc_list":null,"apc_paid":null,"fwci":0.7196,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70584773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"000155","last_page":"000160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.6988898515701294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6768750548362732},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6022809147834778},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6003453135490417},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.5349847674369812},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5250389575958252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34459418058395386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32891517877578735}],"concepts":[{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.6988898515701294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6768750548362732},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6022809147834778},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6003453135490417},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.5349847674369812},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5250389575958252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34459418058395386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32891517877578735},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coginfocom50765.2020.9237866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom50765.2020.9237866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1524333225","https://openalex.org/W1943470310","https://openalex.org/W1984312409","https://openalex.org/W2005255248","https://openalex.org/W2011034267","https://openalex.org/W2018913979","https://openalex.org/W2023733739","https://openalex.org/W2049612161","https://openalex.org/W2058033604","https://openalex.org/W2058091487","https://openalex.org/W2073896339","https://openalex.org/W2075815989","https://openalex.org/W2101141243","https://openalex.org/W2113650738","https://openalex.org/W2139008940","https://openalex.org/W2152292809","https://openalex.org/W2159029593","https://openalex.org/W2165416361","https://openalex.org/W2185859000","https://openalex.org/W2323365074","https://openalex.org/W2507939879","https://openalex.org/W2691775038","https://openalex.org/W2746240288","https://openalex.org/W2789416342","https://openalex.org/W2964121744","https://openalex.org/W3024871058","https://openalex.org/W4239362217","https://openalex.org/W6631362777","https://openalex.org/W6686508619"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W2061937230"],"abstract_inverted_index":{"Dysphonia":[0,23],"can":[1,24,163,184],"be":[2,50,164],"caused":[3],"not":[4,148,169],"only":[5],"by":[6],"the":[7,41,72,103,114,117,122,142],"frequent":[8],"use":[9],"voice,":[10],"but":[11,182],"many":[12],"other":[13],"reasons,":[14],"including":[15],"environmental":[16,18],"noise,":[17],"pollution":[19],"and":[20,32,59,78,87,99,107,187],"dry":[21],"environment.":[22],"serve":[25],"as":[26,138,176],"an":[27,47,139],"indicator":[28],"for":[29,102,141],"several":[30],"serious":[31,34],"less":[33],"diseases.":[35],"Therefore":[36],"a":[37,76,100,190],"system":[38],"that":[39,166],"models":[40],"cognitive":[42],"decision":[43],"making":[44],"processes":[45],"of":[46,51,74,105,116,152],"expert":[48],"would":[49],"great":[52],"value":[53],"in":[54,65,83,92,110],"order":[55],"to":[56,62,126,171],"make":[57],"reliable":[58],"quick":[60],"decisions":[61],"help":[63],"physicians":[64],"diagnosing":[66],"dysphonia.":[67],"This":[68],"paper":[69],"focuses":[70],"on":[71,159],"front-end":[73],"such":[75],"system,":[77],"evaluates":[79],"acoustic":[80],"features":[81,119,137],"measured":[82],"different":[84],"phonetic":[85],"classes":[86],"ASR":[88,154,173],"posterior":[89,155],"probability":[90,156],"values":[91],"two":[93,118],"classification":[94,104,123],"model":[95],"schemes,":[96],"with":[97],"SVM":[98],"DNN,":[101],"healthy":[106],"disordered":[108],"voices":[109],"Hungarian-speaking":[111],"patients.":[112],"When":[113],"combination":[115],"is":[120,131,168],"used":[121],"accuracy":[124],"increases":[125],"89":[127],"%.":[128],"While":[129],"this":[130],"better":[132],"than":[133],"just":[134],"using":[135,153],"`acoustic'":[136],"input":[140],"DNN":[143],"(88":[144],"%),":[145],"we":[146],"did":[147],"find":[149],"significant":[150,180],"impact":[151],"values.":[157],"Based":[158],"our":[160],"results,":[161],"it":[162,167,177,183],"concluded":[165],"worthwhile":[170],"calculate":[172],"phone":[174],"posterior,":[175],"has":[178],"no":[179],"impact,":[181],"greatly":[185],"complicate":[186],"slow":[188],"down":[189],"diagnosis":[191],"support":[192],"system.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
