{"id":"https://openalex.org/W46188241","doi":"https://doi.org/10.21437/interspeech.2013-98","title":"Training an articulatory synthesizer with continuous acoustic data","display_name":"Training an articulatory synthesizer with continuous acoustic data","publication_year":2013,"publication_date":"2013-08-25","ids":{"openalex":"https://openalex.org/W46188241","doi":"https://doi.org/10.21437/interspeech.2013-98","mag":"46188241"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2013-98","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-98","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","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/A5003455071","display_name":"Santitham Prom\u2013on","orcid":"https://orcid.org/0000-0002-0869-089X"},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Santitham Prom-on","raw_affiliation_strings":["King Mongkut's University of Technology Thonburi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Mongkut's University of Technology Thonburi","institution_ids":["https://openalex.org/I60837268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046141664","display_name":"Peter Birkholz","orcid":"https://orcid.org/0000-0003-0167-8123"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Birkholz","raw_affiliation_strings":["RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049702508","display_name":"Yi Xu","orcid":"https://orcid.org/0000-0002-8541-2658"},"institutions":[{"id":"https://openalex.org/I2800173700","display_name":"UCL Australia","ror":"https://ror.org/024atcf19","country_code":"AU","type":"education","lineage":["https://openalex.org/I2800173700"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yi Xu","raw_affiliation_strings":["University college London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University college London","institution_ids":["https://openalex.org/I2800173700"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1741,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.76615832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"349","last_page":"353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.7729371190071106},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7161953449249268},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.518409013748169},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.47848600149154663},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46533268690109253},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.4582473635673523},{"id":"https://openalex.org/keywords/speech-production","display_name":"Speech production","score":0.45805537700653076},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.43222206830978394},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4111579656600952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3364136815071106},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.1439201831817627},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13948997855186462},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10421827435493469}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7729371190071106},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7161953449249268},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.518409013748169},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.47848600149154663},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46533268690109253},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.4582473635673523},{"id":"https://openalex.org/C43617652","wikidata":"https://www.wikidata.org/wiki/Q7575399","display_name":"Speech production","level":2,"score":0.45805537700653076},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.43222206830978394},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4111579656600952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3364136815071106},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.1439201831817627},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13948997855186462},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10421827435493469},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2013-98","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-98","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1406071","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1406071/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Bimbot, F and Cerisara, C and Fougeron, C and Gravier, G and Lamel, L and Pellegrino, F and Perrier, P, (eds.) (Proceedings) 14th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2013). (pp. pp. 349-353). ISCA-INT SPEECH COMMUNICATION ASSOC (2013)","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W34090632","https://openalex.org/W1891702304","https://openalex.org/W1944630683","https://openalex.org/W1965378753","https://openalex.org/W1966958746","https://openalex.org/W1969229349","https://openalex.org/W1977591085","https://openalex.org/W1986361563","https://openalex.org/W1995118599","https://openalex.org/W2011192906","https://openalex.org/W2026149420","https://openalex.org/W2043968544","https://openalex.org/W2048449762","https://openalex.org/W2058211894","https://openalex.org/W2069618035","https://openalex.org/W2085654611","https://openalex.org/W2088344125","https://openalex.org/W2110095567","https://openalex.org/W2126289105","https://openalex.org/W2141477623","https://openalex.org/W2141697795","https://openalex.org/W2396590251","https://openalex.org/W2596135543"],"related_works":["https://openalex.org/W2349769824","https://openalex.org/W2914532148","https://openalex.org/W2372625757","https://openalex.org/W4313178214","https://openalex.org/W2970653563","https://openalex.org/W3093766508","https://openalex.org/W2012393389","https://openalex.org/W2899717399","https://openalex.org/W3165027275","https://openalex.org/W2380525500"],"abstract_inverted_index":{"This":[0],"paper":[1],"reports":[2],"preliminary":[3],"results":[4,75],"of":[5,31,37,70],"our":[6],"effort":[7],"to":[8],"address":[9],"the":[10,35,53,60,74],"acoustic-to-articulatory":[11],"inversion":[12],"problem.":[13],"We":[14],"tested":[15,66],"an":[16],"approach":[17,64],"that":[18],"simulates":[19],"speech":[20],"production":[21],"acquisition":[22],"as":[23,39,52,59],"a":[24,43,68],"distal":[25],"learning":[26],"task,":[27],"with":[28],"acoustic":[29],"signals":[30],"natural":[32,71],"utterances":[33],"in":[34],"form":[36],"MFCC":[38],"input,":[40],"VocalTractLab":[41],"\u2014":[42],"3D":[44],"articulatory":[45],"synthesizer":[46],"controlled":[47],"by":[48],"target":[49],"approximation":[50],"models":[51],"learner,":[54],"and":[55,73],"stochastic":[56],"gradient":[57],"descent":[58],"training":[61],"method.":[62],"The":[63],"was":[65],"on":[67],"number":[69],"utterances,":[72],"were":[76],"highly":[77],"encouraging.":[78]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}