{"id":"https://openalex.org/W1216652377","doi":"https://doi.org/10.21437/interspeech.2005-570","title":"Training the tilt intonation model using the JEMA methodology","display_name":"Training the tilt intonation model using the JEMA methodology","publication_year":2005,"publication_date":"2005-09-04","ids":{"openalex":"https://openalex.org/W1216652377","doi":"https://doi.org/10.21437/interspeech.2005-570","mag":"1216652377"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2005-570","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2005","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/A5074475740","display_name":"Matej Rojc","orcid":"https://orcid.org/0000-0002-2840-968X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matej Rojc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051689632","display_name":"Pablo Daniel Ag\u00fcero","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pablo Daniel Aguero","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000405202","display_name":"Antonio Bonafonte","orcid":"https://orcid.org/0000-0002-6240-9915"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio Bonafonte","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072645144","display_name":"Zdravko Ka\u010di\u010d","orcid":"https://orcid.org/0000-0002-8934-0604"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zdravko Kacic","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3273","last_page":"3276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9991000294685364,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991000294685364,"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":0.9904000163078308,"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/tilt","display_name":"Tilt (camera)","score":0.8768616318702698},{"id":"https://openalex.org/keywords/intonation","display_name":"Intonation (linguistics)","score":0.8309903144836426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7108116149902344},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6948117017745972},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6041797399520874},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5748451352119446},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4937523305416107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4737171530723572},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4096340239048004},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37327906489372253},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17420125007629395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13400089740753174},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07461735606193542}],"concepts":[{"id":"https://openalex.org/C2779844322","wikidata":"https://www.wikidata.org/wiki/Q2919140","display_name":"Tilt (camera)","level":2,"score":0.8768616318702698},{"id":"https://openalex.org/C2781045179","wikidata":"https://www.wikidata.org/wiki/Q5576720","display_name":"Intonation (linguistics)","level":2,"score":0.8309903144836426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7108116149902344},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6948117017745972},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6041797399520874},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5748451352119446},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4937523305416107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4737171530723572},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4096340239048004},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37327906489372253},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17420125007629395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13400089740753174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07461735606193542},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2005-570","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2005","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W35118840","https://openalex.org/W128408808","https://openalex.org/W1974555773","https://openalex.org/W2093414802","https://openalex.org/W2170303799","https://openalex.org/W2407870089"],"related_works":["https://openalex.org/W2382821289","https://openalex.org/W2800990999","https://openalex.org/W2554525739","https://openalex.org/W1494405802","https://openalex.org/W2541707293","https://openalex.org/W4360617285","https://openalex.org/W2347450612","https://openalex.org/W2994367018","https://openalex.org/W3209832466","https://openalex.org/W2506705588"],"abstract_inverted_index":{"This":[0,101],"paper":[1],"focuses":[2],"on":[3,117],"the":[4,7,31,44,55,67,72,83,86,91,98,104,107,129,139],"estimation":[5,20,108],"of":[6,43,85,106],"Tilt":[8,13,45,69,73,130],"intonation":[9,111],"model":[10,131],"[1].":[11],"Usually,":[12],"events":[14,74,84],"are":[15],"detected":[16],"using":[17,24,94],"a":[18,37,60],"first":[19],"which":[21],"is":[22,51,132],"improved":[23],"gradient":[25,48],"descent":[26,49],"techniques.":[27],"To":[28],"speed":[29],"up":[30],"search":[32,50],"we":[33,79,96],"propose":[34,80],"to":[35,81],"use":[36],"closed":[38],"form":[39],"expression":[40,62],"for":[41,54,134],"some":[42],"parameters.":[46],"The":[47,124],"used":[52],"only":[53],"time":[56],"related":[57],"parameters":[58],"because":[59],"close":[61],"cannot":[63],"be":[64],"found.":[65],"Furthermore,":[66],"original":[68],"proposal":[70],"estimates":[71],"sentence":[75],"by":[76],"sentence.":[77],"Here":[78],"estimate":[82],"whole":[87],"training":[88],"corpus":[89],"at":[90],"same":[92],"time,":[93],"what":[95],"call":[97],"JEMA":[99,140],"methodology.":[100],"approach":[102],"increases":[103],"consistency":[105],"producing":[109],"better":[110,143],"models.":[112,145],"It":[113],"has":[114],"been":[115],"tested":[116],"two":[118],"different":[119],"languages:":[120],"Slovenian":[121],"and":[122,137],"Spanish.":[123],"experimental":[125],"results":[126],"reveal":[127],"that":[128,138],"appropriate":[133],"these":[135],"languages":[136],"methodology":[141],"produces":[142],"prosodic":[144]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}