{"id":"https://openalex.org/W1616237775","doi":"https://doi.org/10.1109/ijcnn.2015.7280685","title":"Data-driven vocal folds models for the representation of both acoustic and high speed video data","display_name":"Data-driven vocal folds models for the representation of both acoustic and high speed video data","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1616237775","doi":"https://doi.org/10.1109/ijcnn.2015.7280685","mag":"1616237775"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019634521","display_name":"Carlo Drioli","orcid":"https://orcid.org/0000-0001-6091-4953"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"education","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Drioli","raw_affiliation_strings":["Universita degli Studi di Udine, Udine, Friuli-Venezia Giulia, IT","Department of Mathematics and Computer Science, University of Udine, Via delle Scienze 206, 33100, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universita degli Studi di Udine, Udine, Friuli-Venezia Giulia, IT","institution_ids":["https://openalex.org/I129043915"]},{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Udine, Via delle Scienze 206, 33100, Italy","institution_ids":["https://openalex.org/I129043915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078277002","display_name":"Gian Luca Foresti","orcid":"https://orcid.org/0000-0002-8425-6892"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"education","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gian Luca Foresti","raw_affiliation_strings":["Universita degli Studi di Udine, Udine, Friuli-Venezia Giulia, IT","Department of Mathematics and Computer Science, University of Udine, Via delle Scienze 206, 33100, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universita degli Studi di Udine, Udine, Friuli-Venezia Giulia, IT","institution_ids":["https://openalex.org/I129043915"]},{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Udine, Via delle Scienze 206, 33100, Italy","institution_ids":["https://openalex.org/I129043915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129043915"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9990000128746033,"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":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.7444823980331421},{"id":"https://openalex.org/keywords/phonation","display_name":"Phonation","score":0.742558479309082},{"id":"https://openalex.org/keywords/vocal-folds","display_name":"Vocal folds","score":0.6149959564208984},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5387381911277771},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.523303747177124},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46752333641052246},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4570673704147339},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.4368038773536682},{"id":"https://openalex.org/keywords/formant","display_name":"Formant","score":0.42291003465652466},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.4219372272491455},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.3457593023777008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3453773260116577},{"id":"https://openalex.org/keywords/vowel","display_name":"Vowel","score":0.18620255589485168}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444823980331421},{"id":"https://openalex.org/C173988693","wikidata":"https://www.wikidata.org/wiki/Q678132","display_name":"Phonation","level":2,"score":0.742558479309082},{"id":"https://openalex.org/C2780336059","wikidata":"https://www.wikidata.org/wiki/Q215558","display_name":"Vocal folds","level":3,"score":0.6149959564208984},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5387381911277771},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.523303747177124},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46752333641052246},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4570673704147339},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.4368038773536682},{"id":"https://openalex.org/C158215666","wikidata":"https://www.wikidata.org/wiki/Q1414685","display_name":"Formant","level":3,"score":0.42291003465652466},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.4219372272491455},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.3457593023777008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3453773260116577},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.18620255589485168},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2780474809","wikidata":"https://www.wikidata.org/wiki/Q9637","display_name":"Larynx","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:air.uniud.it:11390/1071317","is_oa":false,"landing_page_url":"http://hdl.handle.net/11390/1071317","pdf_url":null,"source":{"id":"https://openalex.org/S4306401163","display_name":"Institutional Research Information System (University of Udine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129043915","host_organization_name":"University of Udine","host_organization_lineage":["https://openalex.org/I129043915"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1618567565","https://openalex.org/W1969141051","https://openalex.org/W2002025599","https://openalex.org/W2002488718","https://openalex.org/W2002561941","https://openalex.org/W2024677195","https://openalex.org/W2027367352","https://openalex.org/W2038299421","https://openalex.org/W2068946105","https://openalex.org/W2072340719","https://openalex.org/W2082008036","https://openalex.org/W2112307093","https://openalex.org/W2126339215","https://openalex.org/W2129444754","https://openalex.org/W2153004436","https://openalex.org/W2170927693","https://openalex.org/W2294588043","https://openalex.org/W2734505173","https://openalex.org/W6650997629","https://openalex.org/W6741013822"],"related_works":["https://openalex.org/W1187374466","https://openalex.org/W1996558519","https://openalex.org/W1979705312","https://openalex.org/W2506134877","https://openalex.org/W4386351993","https://openalex.org/W2686508388","https://openalex.org/W2065606618","https://openalex.org/W2023024786","https://openalex.org/W4246240767","https://openalex.org/W2094912529"],"abstract_inverted_index":{"The":[0,187],"aim":[1],"of":[2,10,13,25,36,51,73,87,100,146,153],"this":[3],"paper":[4],"is":[5,40,113,116,130,163,189],"to":[6,17,63,80,137,149,157,176,181],"evaluate":[7],"the":[8,26,37,65,70,74,88,101,138,147,151,154,159,184],"effectiveness":[9],"a":[11,42,95],"class":[12],"data-driven":[14,122],"physical":[15,119],"models":[16,35,50],"represent":[18,64,82,158],"both":[19],"acoustic":[20,66,134],"and":[21,46,54,121,141,156],"high-speed":[22],"video":[23,85,144],"data":[24,107,135,145,192],"voice":[27],"production":[28,31],"process.":[29],"Voice":[30],"analysis":[32,108],"through":[33],"numerical":[34],"phonation":[38,160],"process":[39],"nowday":[41],"mature":[43],"research":[44],"field,":[45],"reliable":[47],"dynamical":[48],"glottal":[49,139],"different":[52,194],"accuracy":[53],"complexity":[55],"are":[56,60],"available.":[57],"Although":[58],"they":[59],"traditionally":[61],"used":[62,173],"emission":[67],"during":[68],"phonation,":[69],"biomechanical":[71,177],"nature":[72],"modeling":[75],"makes":[76],"them":[77],"well":[78],"suited":[79],"also":[81],"high":[83,142],"speed":[84,143],"recordings":[86],"vocal":[89],"folds":[90,102],"oscillations.":[91],"We":[92],"discuss":[93],"here":[94,165],"data-driven,":[96],"numerically":[97],"simulated":[98],"model":[99,111,127,155],"motion":[103],"within":[104],"an":[105],"audio-video":[106],"context.":[109],"A":[110,126],"structure":[112],"proposed":[114],"which":[115],"based":[117],"on":[118,191],"knowledge":[120],"machine":[123,167],"learning":[124,168],"components.":[125],"inversion":[128],"algorithm":[129],"designed":[131],"that":[132],"exploits":[133],"related":[136],"excitation":[140],"folds,":[148],"estimate":[150],"parameters":[152],"characteristics.":[161],"It":[162],"shown":[164],"how":[166],"techniques":[169],"can":[170],"be":[171],"effectively":[172],"in":[174,179],"combination":[175],"modeling,":[178],"order":[180],"fit":[182],"match":[183],"osbserved":[185],"data.":[186],"method":[188],"assessed":[190],"from":[193],"subjects":[195],"uttering":[196],"sustained":[197],"vowels.":[198]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
