{"id":"https://openalex.org/W2403821174","doi":"https://doi.org/10.21437/interspeech.2015-584","title":"Transcribing continuous speech using mismatched crowdsourcing","display_name":"Transcribing continuous speech using mismatched crowdsourcing","publication_year":2015,"publication_date":"2015-09-06","ids":{"openalex":"https://openalex.org/W2403821174","doi":"https://doi.org/10.21437/interspeech.2015-584","mag":"2403821174"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2015-584","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","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/A5036738038","display_name":"Preethi Jyothi","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Preethi Jyothi","raw_affiliation_strings":["***University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"***University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004778663","display_name":"Mark Hasegawa\u2010Johnson","orcid":"https://orcid.org/0000-0002-5631-2893"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Hasegawa-Johnson","raw_affiliation_strings":["Electrical and Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2774","last_page":"2778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9958000183105469,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.9238080978393555},{"id":"https://openalex.org/keywords/hindi","display_name":"Hindi","score":0.8128304481506348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8038387298583984},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.73041832447052},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6461264491081238},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.628160834312439},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6269496083259583},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6110671758651733},{"id":"https://openalex.org/keywords/crowd-sourcing","display_name":"Crowd sourcing","score":0.6087926030158997},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5869760513305664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49836015701293945},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.48814353346824646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.223827064037323},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1293804943561554},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10474395751953125},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08481582999229431}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9238080978393555},{"id":"https://openalex.org/C519982507","wikidata":"https://www.wikidata.org/wiki/Q1568","display_name":"Hindi","level":2,"score":0.8128304481506348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8038387298583984},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.73041832447052},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6461264491081238},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.628160834312439},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6269496083259583},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6110671758651733},{"id":"https://openalex.org/C3018396927","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowd sourcing","level":2,"score":0.6087926030158997},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5869760513305664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49836015701293945},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.48814353346824646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.223827064037323},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1293804943561554},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10474395751953125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08481582999229431},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2015-584","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.727.251","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.727.251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://isle.illinois.edu/sst/pubs/2015/jyothi15interspeech_mismatch.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W173060823","https://openalex.org/W573259127","https://openalex.org/W1436754857","https://openalex.org/W1582482241","https://openalex.org/W1904457459","https://openalex.org/W2046932483","https://openalex.org/W2049633694","https://openalex.org/W2115915304","https://openalex.org/W2127849236","https://openalex.org/W2182894058","https://openalex.org/W2798909945"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W2409650238","https://openalex.org/W2524552836","https://openalex.org/W2911172774","https://openalex.org/W2039747859","https://openalex.org/W2002094063","https://openalex.org/W3121216790","https://openalex.org/W2467989257"],"abstract_inverted_index":{"Mismatched":[0],"crowdsourcing":[1],"was":[2],"recently":[3],"proposed":[4],"as":[5],"a":[6,56,70,79],"poten-tial":[7],"approach":[8],"to":[9,97,121],"deriving":[10],"moderately":[11],"accurate":[12],"speech":[13,58],"transcrip-tions":[14],"using":[15],"crowd":[16,49,119],"workers":[17,120],"unfamiliar":[18],"with":[19,32],"the":[20,33,109,117],"language":[21],"be-ing":[22],"spoken.":[23],"In":[24,60,85],"introducing":[25],"this":[26,61,66],"approach,":[27],"we":[28,63,88],"demonstrated":[29],"its":[30],"promise":[31],"help":[34],"of":[35,74,94,111],"an":[36,103],"isolated":[37],"word":[38,71],"recovery":[39],"task":[40,81],"for":[41,83],"Hindi.":[42],"However,":[43],"it":[44],"remained":[45],"open":[46],"whether":[47],"mismatched":[48,118],"sourcing":[50],"can":[51],"yield":[52],"non-trivial":[53],"accuracy":[54],"in":[55,78,114],"continuous":[57,98],"task.":[59],"work,":[62],"focus":[64],"on":[65],"question":[67],"and":[68,107],"demonstrate":[69],"error":[72],"rate":[73],"under":[75,123],"45":[76],"%":[77],"large-vocabulary":[80],"(again":[82],"Hindi).":[84],"achieving":[86],"this,":[87],"develop":[89],"several":[90],"new":[91],"tech-niques":[92],"capable":[93],"scaling":[95],"effectively":[96],"speech.":[99],"We":[100],"also":[101],"provide":[102],"information":[104,112],"theoretic":[105],"analysis":[106],"estimate":[108],"amount":[110],"lost":[113],"transcription":[115],"by":[116],"be":[122],"5":[124],"bits.":[125]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":12}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}