{"id":"https://openalex.org/W4224069384","doi":"https://doi.org/10.1109/lifetech53646.2022.9754750","title":"Facial Feature Points for Japanese Speech Content Estimation","display_name":"Facial Feature Points for Japanese Speech Content Estimation","publication_year":2022,"publication_date":"2022-03-07","ids":{"openalex":"https://openalex.org/W4224069384","doi":"https://doi.org/10.1109/lifetech53646.2022.9754750"},"language":"en","primary_location":{"id":"doi:10.1109/lifetech53646.2022.9754750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech53646.2022.9754750","pdf_url":null,"source":{"id":"https://openalex.org/S4363607953","display_name":"2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)","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/A5018000109","display_name":"Etsuro Nakamura","orcid":null},"institutions":[{"id":"https://openalex.org/I203765153","display_name":"Akita University","ror":"https://ror.org/03hv1ad10","country_code":"JP","type":"education","lineage":["https://openalex.org/I203765153"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Etsuro Nakamura","raw_affiliation_strings":["Akita University,Graduate School of Engineering Science,Akita,Japan","Graduate School of Engineering Science, Akita University, Akita, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Akita University,Graduate School of Engineering Science,Akita,Japan","institution_ids":["https://openalex.org/I203765153"]},{"raw_affiliation_string":"Graduate School of Engineering Science, Akita University, Akita, Japan","institution_ids":["https://openalex.org/I203765153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034304989","display_name":"Yusuke Honda","orcid":null},"institutions":[{"id":"https://openalex.org/I203765153","display_name":"Akita University","ror":"https://ror.org/03hv1ad10","country_code":"JP","type":"education","lineage":["https://openalex.org/I203765153"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Honda","raw_affiliation_strings":["Akita University,Graduate School of Engineering Science,Akita,Japan","Graduate School of Engineering Science, Akita University, Akita, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Akita University,Graduate School of Engineering Science,Akita,Japan","institution_ids":["https://openalex.org/I203765153"]},{"raw_affiliation_string":"Graduate School of Engineering Science, Akita University, Akita, Japan","institution_ids":["https://openalex.org/I203765153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030252329","display_name":"Yoichi Kageyama","orcid":"https://orcid.org/0000-0001-9958-1228"},"institutions":[{"id":"https://openalex.org/I203765153","display_name":"Akita University","ror":"https://ror.org/03hv1ad10","country_code":"JP","type":"education","lineage":["https://openalex.org/I203765153"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoichi Kageyama","raw_affiliation_strings":["Akita University,Graduate School of Engineering Science,Akita,Japan","Graduate School of Engineering Science, Akita University, Akita, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Akita University,Graduate School of Engineering Science,Akita,Japan","institution_ids":["https://openalex.org/I203765153"]},{"raw_affiliation_string":"Graduate School of Engineering Science, Akita University, Akita, Japan","institution_ids":["https://openalex.org/I203765153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101072168","display_name":"Satoshi Hirose","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118579","display_name":"Systems Biology Institute","ror":"https://ror.org/02c7akf81","country_code":"JP","type":"nonprofit","lineage":["https://openalex.org/I4210118579"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Hirose","raw_affiliation_strings":["Japan Business Systems, Inc.,Service Development Division,Tokyo,Japan","Service Development Division, Japan Business Systems, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Business Systems, Inc.,Service Development Division,Tokyo,Japan","institution_ids":["https://openalex.org/I4210118579"]},{"raw_affiliation_string":"Service Development Division, Japan Business Systems, Inc., Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.121,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.20239219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"156","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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":0.9994000196456909,"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/T11448","display_name":"Face recognition and analysis","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9811999797821045,"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/speech-recognition","display_name":"Speech recognition","score":0.8009442090988159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7764207124710083},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6212537288665771},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5540305972099304},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.5175842046737671},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4877699017524719},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.47453129291534424},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4740222096443176},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4401148557662964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4364137351512909},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34432029724121094},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11088559031486511}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.8009442090988159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764207124710083},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6212537288665771},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5540305972099304},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.5175842046737671},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4877699017524719},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.47453129291534424},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4740222096443176},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4401148557662964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4364137351512909},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34432029724121094},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11088559031486511},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lifetech53646.2022.9754750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech53646.2022.9754750","pdf_url":null,"source":{"id":"https://openalex.org/S4363607953","display_name":"2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2284800790","https://openalex.org/W3165010056","https://openalex.org/W3197091557"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W2562096895","https://openalex.org/W1977167953","https://openalex.org/W1560125148","https://openalex.org/W2556771176","https://openalex.org/W2640905660","https://openalex.org/W2402949781","https://openalex.org/W2122924390"],"abstract_inverted_index":{"An":[0],"automatic":[1,113],"minute":[2,18,114],"generating":[3],"system":[4],"based":[5,127],"on":[6,128],"speech":[7,27,45,108],"recognition":[8,46,91,109],"technology":[9],"can":[10,72,87],"be":[11,73],"used":[12,25,33],"to":[13,67],"improve":[14],"the":[15,29,37,44,51,68,84,89,103,107,129,132,136],"efficiency":[16],"of":[17,31,50,53,105,111,131],"meetings.":[19],"When":[20],"only":[21],"one":[22],"microphone":[23],"was":[24,34],"for":[26,97,119],"recognition,":[28],"number":[30],"devices":[32],"reduced,":[35],"and":[36,40,71,125,138],"preparation":[38],"cost":[39],"convenience":[41],"improved.":[42],"However,":[43],"accuracy":[47,110],"decreases":[48],"because":[49],"influence":[52],"noise":[54],"as":[55],"a":[56],"disadvantage.":[57],"By":[58],"contrast,":[59],"lip":[60,85],"movements":[61,130],"have":[62],"characteristics":[63],"that":[64],"are":[65],"unique":[66],"uttered":[69],"contents":[70],"acquired":[74],"even":[75],"in":[76,135],"noisy":[77],"environments.":[78],"The":[79,117],"utterance":[80],"content":[81],"estimated":[82],"from":[83],"movement":[86],"correct":[88],"voice":[90],"content.":[92],"In":[93],"this":[94],"investigation,":[95],"features":[96,118],"estimating":[98,120],"utterances":[99],"were":[100,123],"analyzed":[101],"with":[102],"aim":[104],"improving":[106],"an":[112],"creation":[115],"system.":[116],"Japanese":[121],"syllables":[122],"selected":[124],"evaluated":[126],"feature":[133],"points":[134],"lips":[137],"jaw.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
