{"id":"https://openalex.org/W2143577772","doi":"https://doi.org/10.1109/icassp.2004.1326091","title":"Improving broadcast news transcription by lightly supervised discriminative training","display_name":"Improving broadcast news transcription by lightly supervised discriminative training","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2143577772","doi":"https://doi.org/10.1109/icassp.2004.1326091","mag":"2143577772"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1326091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5110325576","display_name":"Ho Yin Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"H.Y. Chan","raw_affiliation_strings":["Engineering Department, University of Cambridge, Cambridge, UK","Dept. of Eng., Cambridge Univ., UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Department, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Dept. of Eng., Cambridge Univ., UK#TAB#","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002191410","display_name":"Philip C. Woodland","orcid":"https://orcid.org/0000-0001-9069-0225"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"P. Woodland","raw_affiliation_strings":["Engineering Department, University of Cambridge, Cambridge, UK","Dept. of Eng., Cambridge Univ., UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Department, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Dept. of Eng., Cambridge Univ., UK#TAB#","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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/T11309","display_name":"Music and Audio Processing","score":0.9987000226974487,"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/discriminative-model","display_name":"Discriminative model","score":0.9355534911155701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.749498724937439},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6873824596405029},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.6730903387069702},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6324613094329834},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.6284626126289368},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.47383031249046326},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4587457776069641},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.44741857051849365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4233925938606262}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9355534911155701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749498724937439},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6873824596405029},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.6730903387069702},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6324613094329834},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.6284626126289368},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.47383031249046326},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4587457776069641},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.44741857051849365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4233925938606262},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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":3,"locations":[{"id":"doi:10.1109/icassp.2004.1326091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.65.8498","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.8498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mi.eng.cam.ac.uk/reports/svr-ftp/chan_icassp2004.pdf","raw_type":"text"},{"id":"pmh:oai:generic.eprints.org:327077","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/327077/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W173561343","https://openalex.org/W1975113979","https://openalex.org/W2003123121","https://openalex.org/W2111870400","https://openalex.org/W2146049072","https://openalex.org/W2148295152","https://openalex.org/W2150907703","https://openalex.org/W2163295968","https://openalex.org/W2179562937","https://openalex.org/W3149335959","https://openalex.org/W6607114211","https://openalex.org/W6677014330","https://openalex.org/W6685848937"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2162582511","https://openalex.org/W2061937230","https://openalex.org/W4386907265","https://openalex.org/W2058752985","https://openalex.org/W2293740626","https://openalex.org/W2763412546","https://openalex.org/W1499712254","https://openalex.org/W2915347927"],"abstract_inverted_index":{"We":[0],"present":[1],"our":[2],"experiments":[3,60,117],"on":[4,73,118],"lightly":[5],"supervised":[6],"discriminative":[7,70],"training":[8,51,66,71,119],"with":[9],"large":[10],"amounts":[11],"of":[12,59,109,128],"broadcast":[13,89],"news":[14,90],"data":[15,120],"for":[16,53],"which":[17],"only":[18],"closed":[19],"caption":[20],"transcriptions":[21,52],"are":[22,46,84,122],"available":[23],"(TDT":[24],"data).":[25],"In":[26,86],"particular,":[27],"we":[28],"use":[29,62],"language":[30],"models":[31],"biased":[32],"to":[33,37,124],"the":[34,39,43,50,107,130],"closed-caption":[35],"transcripts":[36,45],"recognise":[38],"audio":[40],"data,":[41],"and":[42],"recognised":[44],"then":[47],"used":[48],"as":[49,67,69],"acoustic":[54],"model":[55],"training.":[56],"A":[57],"range":[58,108],"that":[61,93,99],"maximum":[63,75],"likelihood":[64],"(ML)":[65],"well":[68],"based":[72],"either":[74],"mutual":[76],"information":[77],"(MMI)":[78],"or":[79],"minimum":[80],"phone":[81],"error":[82,103],"(MPE)":[83],"presented.":[85],"a":[87],"5xRT":[88],"transcription":[91],"system":[92],"includes":[94],"adaptation,":[95],"it":[96],"is":[97],"shown":[98],"reductions":[100],"in":[101,106],"word":[102],"rate":[104],"(WER)":[105],"1%":[110],"absolute":[111],"can":[112],"be":[113],"achieved.":[114],"Finally,":[115],"some":[116],"selection":[121],"presented":[123],"compare":[125],"different":[126],"methods":[127],"\"filtering\"":[129],"transcripts.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
