{"id":"https://openalex.org/W1589128396","doi":"https://doi.org/10.21437/interspeech.2010-316","title":"Acoustic-to-articulatory inversion based on local regression","display_name":"Acoustic-to-articulatory inversion based on local regression","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W1589128396","doi":"https://doi.org/10.21437/interspeech.2010-316","mag":"1589128396"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-316","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-316","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/A5064116837","display_name":"Samer Al Moubayed","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Samer Al Moubayed","raw_affiliation_strings":["Royal Inst. of Technology"],"affiliations":[{"raw_affiliation_string":"Royal Inst. of Technology","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090325854","display_name":"G. Ananthakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"G. Ananthakrishnan","raw_affiliation_strings":["Royal Inst. of Technology"],"affiliations":[{"raw_affiliation_string":"Royal Inst. of Technology","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064116837"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":2.0291,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86142512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"937","last_page":"940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9983000159263611,"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":0.9983000159263611,"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":0.998199999332428,"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":0.9830999970436096,"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/local-regression","display_name":"Local regression","score":0.6731711030006409},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6646038293838501},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5854671001434326},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5850029587745667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5326789021492004},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5228917002677917},{"id":"https://openalex.org/keywords/segmented-regression","display_name":"Segmented regression","score":0.47185254096984863},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.42019712924957275},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4067455530166626},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.35842761397361755},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3430160880088806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3343822658061981},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32579532265663147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25376856327056885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20918366312980652}],"concepts":[{"id":"https://openalex.org/C60316415","wikidata":"https://www.wikidata.org/wiki/Q6664520","display_name":"Local regression","level":4,"score":0.6731711030006409},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6646038293838501},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5854671001434326},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5850029587745667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5326789021492004},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5228917002677917},{"id":"https://openalex.org/C35519122","wikidata":"https://www.wikidata.org/wiki/Q3775699","display_name":"Segmented regression","level":4,"score":0.47185254096984863},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.42019712924957275},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4067455530166626},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.35842761397361755},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3430160880088806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3343822658061981},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32579532265663147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25376856327056885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20918366312980652}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2010-316","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-316","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.416.8987","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.8987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.speech.kth.se/prod/publications/files/3467.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W46785905","https://openalex.org/W1481348651","https://openalex.org/W1525807100","https://openalex.org/W1585127395","https://openalex.org/W1689445748","https://openalex.org/W1982854652","https://openalex.org/W1991443301","https://openalex.org/W2006775235","https://openalex.org/W2045007407","https://openalex.org/W2127211243","https://openalex.org/W2154920538"],"related_works":["https://openalex.org/W1685088304","https://openalex.org/W2743208879","https://openalex.org/W623416330","https://openalex.org/W2348421592","https://openalex.org/W4309298396","https://openalex.org/W267133670","https://openalex.org/W1557089904","https://openalex.org/W1608667429","https://openalex.org/W1572494532","https://openalex.org/W1993409130"],"abstract_inverted_index":{"*":[0],"names":[1],"in":[2,70],"alphabetical":[3],"order":[4],"This":[5],"paper":[6],"presents":[7],"an":[8],"Acoustic-to-Articulatory":[9],"inversion":[10],"method":[11],"based":[12],"on":[13,31,60],"local":[14,19,25,89,93],"regression.":[15,91],"Two":[16],"types":[17],"of":[18,37,39,54],"regression,":[20],"a":[21,24,32],"non-parametric":[22],"and":[23,41,84,112],"linear":[26,90,94],"regression":[27,62,83,95,103],"have":[28],"been":[29],"applied":[30,59],"corpus":[33],"containing":[34],"simultaneous":[35],"recordings":[36],"positions":[38],"articulators":[40,56],"the":[42,51,55,61,75,81,88,109],"corresponding":[43],"acoustics.":[44],"A":[45],"maximum":[46],"likelihood":[47],"trajectory":[48],"smoothing":[49],"using":[50,104,108],"estimated":[52],"dynamics":[53],"is":[57,77,96],"also":[58],"estimates.":[63],"The":[64,92],"average":[65],"root":[66],"mean":[67],"square":[68],"error":[69],"estimating":[71],"articulatory":[72,113],"positions,":[73],"given":[74],"acoustics,":[76],"1.56":[78],"mm":[79,86],"for":[80,87],"nonparametric":[82],"1.52":[85],"found":[97],"to":[98],"perform":[99],"significantly":[100],"better":[101],"than":[102],"Gaussian":[105],"Mixture":[106],"Models":[107],"same":[110],"acoustic":[111],"features.":[114]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}