{"id":"https://openalex.org/W2171112082","doi":"https://doi.org/10.1109/jstsp.2010.2048236","title":"B-Spline Model Order Selection With Optimal MDL Criterion Applied to Speech Fundamental Frequency Stylization","display_name":"B-Spline Model Order Selection With Optimal MDL Criterion Applied to Speech Fundamental Frequency Stylization","publication_year":2010,"publication_date":"2010-04-16","ids":{"openalex":"https://openalex.org/W2171112082","doi":"https://doi.org/10.1109/jstsp.2010.2048236","mag":"2171112082"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2010.2048236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2010.2048236","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-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/A5003200234","display_name":"Damien Lolive","orcid":"https://orcid.org/0000-0002-1110-5444"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Damien Lolive","raw_affiliation_strings":["Cordial Group, IRISA Laboratory, University of Rennes I, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cordial Group, IRISA Laboratory, University of Rennes I, Rennes, France","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051775713","display_name":"Nelly Barbot","orcid":"https://orcid.org/0000-0003-4177-9324"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nelly Barbot","raw_affiliation_strings":["Cordial Group, IRISA Laboratory, University of Rennes I, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cordial Group, IRISA Laboratory, University of Rennes I, Rennes, France","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I56067802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039964341","display_name":"Olivier Bo\u00ebffard","orcid":null},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Boeffard","raw_affiliation_strings":["Cordial Group, IRISA Laboratory, University of Rennes I, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cordial Group, IRISA Laboratory, University of Rennes I, Rennes, France","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I56067802"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12278549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":"3","first_page":"571","last_page":"581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9902999997138977,"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":0.9902999997138977,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9829000234603882,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/minimum-description-length","display_name":"Minimum description length","score":0.6346288919448853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5502620935440063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4576197862625122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4481356739997864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38130709528923035}],"concepts":[{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.6346288919448853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5502620935440063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4576197862625122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4481356739997864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38130709528923035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstsp.2010.2048236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2010.2048236","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:inria-00538937v1","is_oa":false,"landing_page_url":"https://inria.hal.science/inria-00538937","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing, 2010, 4 (3), pp.571 - 581. ⟨10.1109/JSTSP.2010.2048236⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W15653344","https://openalex.org/W1527151497","https://openalex.org/W1569548758","https://openalex.org/W1582662696","https://openalex.org/W1973217014","https://openalex.org/W1974537583","https://openalex.org/W1986096508","https://openalex.org/W2003410902","https://openalex.org/W2010396133","https://openalex.org/W2011842463","https://openalex.org/W2024060531","https://openalex.org/W2024690006","https://openalex.org/W2024941149","https://openalex.org/W2039995614","https://openalex.org/W2058172116","https://openalex.org/W2067596735","https://openalex.org/W2075898624","https://openalex.org/W2093414802","https://openalex.org/W2109462258","https://openalex.org/W2122026671","https://openalex.org/W2131256294","https://openalex.org/W2137474797","https://openalex.org/W2138677107","https://openalex.org/W2151363206","https://openalex.org/W2154280657","https://openalex.org/W2157878716","https://openalex.org/W2166992393","https://openalex.org/W2407870089","https://openalex.org/W2798909945","https://openalex.org/W3123791793","https://openalex.org/W4238080384","https://openalex.org/W4245279681","https://openalex.org/W6637174430","https://openalex.org/W6679849061","https://openalex.org/W6682545244"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4298831272","https://openalex.org/W2095614499","https://openalex.org/W2489956408","https://openalex.org/W349256592","https://openalex.org/W2086694237","https://openalex.org/W1979597421","https://openalex.org/W4213307346","https://openalex.org/W2037989911","https://openalex.org/W2007980826"],"abstract_inverted_index":{"In":[0],"the":[1,17,34,47,68,73,76,81,99,102,126,143,149,168,176],"speech":[2,185],"processing":[3],"field,":[4],"stylization":[5,37],"of":[6,49,59,70,75,83,101,128,145,157,160,173,175,194],"fundamental":[7],"frequencyF0has":[8],"been":[9],"subjected":[10],"to":[11,87,109,124],"numerous":[12],"works.":[13],"Models":[14],"proposed":[15],"in":[16,46,72,122,148],"literature":[18],"rely":[19],"on":[20,115,135,182],"knowledge":[21],"stemming":[22],"from":[23,138],"phonology":[24],"and":[25,45,171,187,198,206],"linguistics.":[26],"We":[27,107,130,141,153],"propose":[28,108],"an":[29,89,202,208],"approach":[30],"that":[31],"deals":[32],"with":[33,61],"issue":[35],"ofF0curve":[36],"requiring":[38],"as":[39,43],"few":[40],"linguistic":[41],"assumptions":[42],"possible":[44],"framework":[48],"B-spline":[50,53,85,196],"models.":[51,178],"A":[52],"model,":[54],"characterized":[55],"by":[56],"a":[57,84,94,111,116,155,164,183,216],"sequence":[58],"knots":[60],"which":[62,162],"control":[63],"points":[64],"are":[65,180],"associated,":[66],"enables":[67,163,201],"formalization":[69],"discontinuities":[71],"derivatives":[74],"observed":[77],"values":[78],"sequence.":[79],"Beyond":[80],"implementation":[82],"model":[86,104,197],"stylize":[88],"open":[90],"curve":[91],"sampled":[92],"using":[93],"constant":[95],"step,":[96],"we":[97],"address":[98],"problem":[100],"optimal":[103],"order":[105,123],"choice.":[106],"use":[110,193],"parsimony":[112],"criterion":[113],"based":[114],"minimum":[117],"description":[118],"length":[119],"(MDL)":[120],"approach,":[121],"optimize":[125],"number":[127],"knots.":[129],"derive":[131],"several":[132],"criteria":[133],"relying":[134],"bounds":[136],"estimated":[137,177],"parameter":[139],"values.":[140],"demonstrate":[142],"optimality":[144],"these":[146],"choices":[147],"theoretical":[150],"MDL":[151,190,199],"framework.":[152],"introduce":[154],"notion":[156],"variable":[158],"precision":[159,170],"parameters":[161],"good":[165],"compromise":[166],"between":[167],"modeling":[169,204],"degrees":[172],"freedom":[174],"Experiments":[179],"performed":[181],"French":[184],"corpus":[186],"compare":[188],"three":[189],"criteria.":[191],"The":[192],"both":[195],"methodology":[200],"efficient":[203],"ofF0curves":[205],"provides":[207],"RMS":[209],"error":[210],"around":[211],"1":[212],"Hz":[213],"while":[214],"allowing":[215],"relatively":[217],"high":[218],"compression":[219],"rate":[220],"about":[221],"40%.":[222]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}