{"id":"https://openalex.org/W84590555","doi":"https://doi.org/10.21437/interspeech.2010-465","title":"Locally-weighted regression for estimating the forward kinematics of a geometric vocal tract model","display_name":"Locally-weighted regression for estimating the forward kinematics of a geometric vocal tract model","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W84590555","doi":"https://doi.org/10.21437/interspeech.2010-465","mag":"84590555"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-465","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","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/A5046812723","display_name":"Adam C. Lammert","orcid":"https://orcid.org/0000-0001-8162-2693"},"institutions":[{"id":"https://openalex.org/I2800817003","display_name":"Southern California University for Professional Studies","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]},{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adam C. Lammert","raw_affiliation_strings":["University of Southern California"],"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110122617","display_name":"Louis Goldstein","orcid":null},"institutions":[{"id":"https://openalex.org/I2800817003","display_name":"Southern California University for Professional Studies","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]},{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Louis Goldstein","raw_affiliation_strings":["University of Southern California"],"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044515172","display_name":"Khalil Iskarous","orcid":"https://orcid.org/0000-0003-3269-7343"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khalil Iskarous","raw_affiliation_strings":["Yale University  ;"],"affiliations":[{"raw_affiliation_string":"Yale University  ;","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046812723"],"corresponding_institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"],"apc_list":null,"apc_paid":null,"fwci":1.0115,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73325553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1604","last_page":"1607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9986000061035156,"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/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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/vocal-tract","display_name":"Vocal tract","score":0.712591290473938},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.7056653499603271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5591388940811157},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5208061933517456},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5002751350402832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.393454909324646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3184242844581604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29479217529296875},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.2210405170917511},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14122804999351501}],"concepts":[{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.712591290473938},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7056653499603271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5591388940811157},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5208061933517456},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5002751350402832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.393454909324646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3184242844581604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29479217529296875},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2210405170917511},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14122804999351501},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2010-465","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W1689445748","https://openalex.org/W1987000460","https://openalex.org/W1991330244","https://openalex.org/W2032069772","https://openalex.org/W2043968544","https://openalex.org/W2048449762","https://openalex.org/W2107387604","https://openalex.org/W2129908972","https://openalex.org/W2154642048","https://openalex.org/W2161735924","https://openalex.org/W2165625504","https://openalex.org/W2323447981","https://openalex.org/W3146803896","https://openalex.org/W3207342693"],"related_works":["https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W2312753042","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W3174513558","https://openalex.org/W2355687852","https://openalex.org/W2114200869"],"abstract_inverted_index":{"Task-space":[0],"control":[1,14,103],"is":[2,52,97,119],"well":[3],"studied":[4],"in":[5],"modeling":[6],"speech":[7,33],"production":[8],"[1,":[9],"2,":[10],"3,":[11],"4].":[12],"Implementing":[13],"of":[15,79,91,102,133,148],"this":[16,70],"kind":[17],"requires":[18],"an":[19,130],"accurate":[20],"kinematic":[21],"forward":[22,40,57,94,141],"model.":[23],"Despite":[24],"debate":[25],"about":[26],"how":[27],"to":[28,47,54,112,122],"define":[29],"the":[30,56,77,113,123],"tasks":[31],"for":[32,69,76,126,136],"(i.e.,":[34],"acoustical":[35],"vs.":[36],"articulatory),":[37],"a":[38,109,138],"faithful":[39],"model":[41,58,111],"will":[42],"be":[43],"complex":[44,93,124],"and":[45,145],"infeasible":[46],"express":[48],"analytically.":[49],"Thus,":[50],"it":[51],"necessary":[53],"learn":[55],"from":[59],"data.":[60],"Artificial":[61],"Neural":[62],"Networks":[63],"(ANNs)":[64],"have":[65],"previously":[66],"been":[67],"suggested":[68],"[3,":[71],"4,":[72],"6].":[73],"We":[74,128],"argue":[75],"use":[78],"locally-linear":[80],"methods,":[81],"such":[82],"as":[83],"Locally-Weighted":[84],"Regression":[85],"(LWR).":[86],"While":[87],"ANNs":[88,107],"are":[89],"capable":[90],"learning":[92,137],"maps,":[95],"LWR":[96,118],"more":[98],"appropriate.":[99],"Common":[100],"formulations":[101],"assume":[104],"locally-linearity,":[105],"whereas":[106],"fit":[108],"nonlinear":[110],"entire":[114],"map.":[115],"Likewise,":[116],"training":[117],"simple":[120],"compared":[121],"optimization":[125],"ANNs.":[127],"provide":[129],"empirical":[131],"comparison":[132],"these":[134],"methods":[135],"vocal":[139],"tract":[140],"model,":[142],"discussing":[143],"theoretical":[144],"practical":[146],"aspects":[147],"each.":[149]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}