{"id":"https://openalex.org/W51543369","doi":"https://doi.org/10.21437/eurospeech.1999-400","title":"Multilingual prosody modelling using cascades of regression trees and neural networks","display_name":"Multilingual prosody modelling using cascades of regression trees and neural networks","publication_year":1999,"publication_date":"1999-09-05","ids":{"openalex":"https://openalex.org/W51543369","doi":"https://doi.org/10.21437/eurospeech.1999-400","mag":"51543369"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1999-400","doi":"https://doi.org/10.21437/eurospeech.1999-400","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1999-400","pdf_url":null,"source":{"id":"https://openalex.org/S7407089324","display_name":"European Conference on Speech Communication and Technology (Eurospeech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th European Conference on Speech Communication and Technology (Eurospeech 1999)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5113495803","display_name":"Justin Fackrell","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. W. A. Fackrell","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065904712","display_name":"Halewijn Vereecken","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Vereecken","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109066479","display_name":"J.-P. Martens","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J.-P. Martens","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5081446323","display_name":"Bert Van Coile","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bert Van Coile","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":2.1079,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.85014006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1835","last_page":"1838"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9965999722480774,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9965999722480774,"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":0.001500000013038516,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regression-trees","display_name":"regression trees","score":0.6850000023841858},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9729999899864197},{"id":"https://openalex.org/keywords/cascade-model","display_name":"cascade model","score":0.8069999814033508},{"id":"https://openalex.org/keywords/word-prominence","display_name":"word prominence","score":0.9959999918937683},{"id":"https://openalex.org/keywords/phoneme-duration","display_name":"phoneme duration","score":0.9710000157356262},{"id":"https://openalex.org/keywords/subjective-evaluation","display_name":"subjective evaluation","score":0.5490000247955322},{"id":"https://openalex.org/keywords/american-english","display_name":"American English","score":0.8379999995231628},{"id":"https://openalex.org/keywords/dutch","display_name":"Dutch language","score":1.0}],"concepts":[{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.8191087245941162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924954295158386},{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.7625212669372559},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7140469551086426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6603308916091919},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6468262672424316},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5149758458137512},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5083264708518982},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4928436279296875},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.47080883383750916},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4579947590827942},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38763827085494995},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32356879115104675},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13705801963806152},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0994325578212738},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09574559330940247},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07398185133934021},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"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":3,"locations":[{"id":"doi:10.21437/eurospeech.1999-400","doi":"https://doi.org/10.21437/eurospeech.1999-400","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1999-400","pdf_url":null,"source":{"id":"https://openalex.org/S7407089324","display_name":"European Conference on Speech Communication and Technology (Eurospeech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th European Conference on Speech Communication and Technology (Eurospeech 1999)","raw_type":"proceedings-article"},{"id":"doi:10.21437/eurospeech.1999-458","doi":"https://doi.org/10.21437/eurospeech.1999-458","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1999-458","pdf_url":null,"source":{"id":"https://openalex.org/S7407089324","display_name":"European Conference on Speech Communication and Technology (Eurospeech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th European Conference on Speech Communication and Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:117422","doi":null,"is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/117422","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 6th European Conference on Speech Communication and Technology, Vol. 4, ESCA (European Speech Communication Association), Kis B. N\u00e9meth G. Olaszy G. (ed.), Budapest, september p. 1835-1838","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W22410466","https://openalex.org/W31154030","https://openalex.org/W36786594","https://openalex.org/W91891940","https://openalex.org/W141887692","https://openalex.org/W1527398610","https://openalex.org/W1529572122","https://openalex.org/W1594031697","https://openalex.org/W1981358748","https://openalex.org/W2399302054","https://openalex.org/W2406982337","https://openalex.org/W2431394909","https://openalex.org/W3085162807"],"related_works":["https://openalex.org/W7101109867","https://openalex.org/W68668377","https://openalex.org/W7095509830","https://openalex.org/W201761796","https://openalex.org/W2150802571","https://openalex.org/W1587551330","https://openalex.org/W2161855006","https://openalex.org/W1602926290","https://openalex.org/W2500558361","https://openalex.org/W1599910466"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,35,45,79,104,120],"use":[4],"of":[5,37,53,81],"automatically-trained":[6],"models":[7,27,52,90],"(Regression":[8],"Trees":[9],"and":[10,23,48,66,77,99],"Multilayer":[11],"Perceptrons)":[12],"to":[13,44,114],"predict":[14],"three":[15],"prosodic":[16,89],"variables":[17],"\u2013":[18],"phrase-boundary":[19],"strength,":[20],"word":[21],"prominence":[22,46],"phoneme":[24],"duration.":[25],"The":[26],"are":[28,39,70,91],"arranged":[29],"in":[30],"a":[31,82],"cascade":[32],"so":[33,49],"that":[34,87],"predictions":[36],"phrase-boundaries":[38],"used":[40],"as":[41,94,96],"input":[42],"features":[43],"model,":[47],"on.":[50],"Cascade":[51],"this":[54],"type":[55],"have":[56,115],"been":[57],"constructed":[58,64],"for":[59],"6":[60],"languages,":[61],"using":[62],"specially":[63],"databases,":[65],"objective":[67],"performance":[68],"statistics":[69],"described.":[71],"For":[72],"two":[73],"languages":[74],"(American":[75],"English":[76],"Dutch)":[78],"results":[80],"subjective":[83],"evaluation":[84],"experiment":[85],"suggest":[86],"these":[88],"at":[92],"least":[93],"good":[95],"hand-crafted":[97],"models,":[98],"sometimes":[100],"better.":[101],"Furthermore,":[102],"preparing":[103],"training":[105],"data":[106],"automatically,":[107],"rather":[108],"than":[109],"by":[110],"manual":[111],"labelling,":[112],"seems":[113],"no":[116],"negative":[117],"impact":[118],"on":[119],"model":[121],"performance.":[122]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}