{"id":"https://openalex.org/W3188056860","doi":"https://doi.org/10.24963/ijcai.2021/664","title":"Speech Recognition Using RFID Tattoos (Extended Abstract)","display_name":"Speech Recognition Using RFID Tattoos (Extended Abstract)","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3188056860","doi":"https://doi.org/10.24963/ijcai.2021/664","mag":"3188056860"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/664","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/664","pdf_url":"https://www.ijcai.org/proceedings/2021/0664.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0664.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077563979","display_name":"Jingxian Wang","orcid":"https://orcid.org/0000-0003-2156-0966"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jingxian Wang","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054863888","display_name":"Chengfeng Pan","orcid":"https://orcid.org/0000-0001-8825-8011"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengfeng Pan","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032046097","display_name":"Haojian Jin","orcid":"https://orcid.org/0000-0001-5212-2235"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haojian Jin","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101922217","display_name":"Vaibhav Singh","orcid":"https://orcid.org/0009-0006-4388-5920"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vaibhav Singh","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080724301","display_name":"Yash Jain","orcid":"https://orcid.org/0000-0001-5148-6811"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yash Jain","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090310268","display_name":"Jason Hong","orcid":"https://orcid.org/0000-0002-9856-9654"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason I. Hong","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050506400","display_name":"Carmel Majidi","orcid":"https://orcid.org/0000-0002-6469-9645"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carmel Majidi","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042675455","display_name":"Swarun Kumar","orcid":"https://orcid.org/0000-0002-5398-5347"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swarun Kumar","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5077563979"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.1544,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43814882,"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":"4849","last_page":"4853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973999857902527,"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/T11309","display_name":"Music and Audio Processing","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8343451023101807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7335679531097412},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6040219068527222},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5270655155181885},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.466336727142334},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.45783495903015137},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.44433894753456116},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43793007731437683},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4334205090999603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23763850331306458},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13585659861564636}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8343451023101807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335679531097412},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6040219068527222},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5270655155181885},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.466336727142334},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.45783495903015137},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.44433894753456116},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43793007731437683},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4334205090999603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23763850331306458},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13585659861564636},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/664","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/664","pdf_url":"https://www.ijcai.org/proceedings/2021/0664.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/664","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/664","pdf_url":"https://www.ijcai.org/proceedings/2021/0664.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3188056860.pdf","grobid_xml":"https://content.openalex.org/works/W3188056860.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W108634422","https://openalex.org/W609848870","https://openalex.org/W1637570796","https://openalex.org/W1904948456","https://openalex.org/W2015143272","https://openalex.org/W2038971444","https://openalex.org/W2071096833","https://openalex.org/W2125320996","https://openalex.org/W2139911235","https://openalex.org/W2365880764","https://openalex.org/W2419247625","https://openalex.org/W2550980560","https://openalex.org/W2608148332","https://openalex.org/W2763423989","https://openalex.org/W2858846863","https://openalex.org/W2898767687","https://openalex.org/W2920529484","https://openalex.org/W2952746495","https://openalex.org/W3004196347","https://openalex.org/W3165394428","https://openalex.org/W4386948137"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2537963312","https://openalex.org/W2537762514","https://openalex.org/W2349788282","https://openalex.org/W577271088","https://openalex.org/W2120801881","https://openalex.org/W1982853263","https://openalex.org/W1974473538","https://openalex.org/W2020010749","https://openalex.org/W2796116650"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,58,61,129],"radio-frequency":[4],"(RF)":[5],"based":[6,157],"assistive":[7,51],"technology":[8],"for":[9,60,94],"voice":[10,29,95],"impairments":[11,96],"(i.e.,":[12],"dysphonia),":[13],"which":[14,83],"occurs":[15],"in":[16,53,68,174,179],"an":[17],"estimated":[18],"1%":[19],"of":[20,142,162],"the":[21,47,69,88,110,159,176,180,185],"global":[22],"population.":[23],"We":[24,80,103,118,144],"specifically":[25],"focus":[26],"on":[27,50,73,158],"acquired":[28],"disorders":[30],"where":[31],"users":[32,170,186],"continue":[33],"to":[34,37,84,128,133,139],"be":[35],"able":[36],"make":[38],"facial":[39,136],"and":[40,99,113,155],"lip":[41],"gestures":[42,137],"associated":[43],"with":[44,168],"speech.":[45],"Despite":[46],"rich":[48],"literature":[49],"technologies":[52],"this":[54],"space,":[55],"there":[56],"remains":[57],"gap":[59],"solution":[62],"that":[63,121,151],"neither":[64],"requires":[65],"external":[66],"infrastructure":[67],"environment,":[70],"battery-powered":[71],"sensors":[72],"skin":[74],"or":[75],"body-worn":[76],"manual":[77],"input":[78],"devices.":[79],"present":[81],"RFTattoo,":[82],"our":[85],"knowledge":[86],"is":[87],"first":[89],"wireless":[90],"speech":[91],"recognition":[92],"system":[93],"using":[97],"batteryless":[98],"flexible":[100],"RFID":[101,131],"tattoos.":[102],"design":[104],"specialized":[105],"wafer-thin":[106],"tattoos":[107,127],"attached":[108],"around":[109],"user's":[111],"face":[112],"easily":[114],"hidden":[115],"by":[116],"makeup.":[117],"build":[119],"models":[120,150],"process":[122],"signal":[123],"variations":[124],"from":[125],"these":[126],"portable":[130],"reader":[132],"recognize":[134],"various":[135],"corresponding":[138],"distinct":[140],"classes":[141],"sounds.":[143,189],"then":[145],"develop":[146],"natural":[147],"language":[148],"processing":[149],"infer":[152],"meaningful":[153],"words":[154,178],"sentences":[156],"observed":[160],"series":[161],"gestures.":[163],"A":[164],"detailed":[165],"user":[166],"study":[167],"10":[169],"reveals":[171],"86%":[172],"accuracy":[173],"reconstructing":[175],"top-100":[177],"English":[181],"language,":[182],"even":[183],"without":[184],"making":[187],"any":[188]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
