{"id":"https://openalex.org/W2292656914","doi":"https://doi.org/10.1109/asru.2015.7404861","title":"A system for automatic alignment of broadcast media captions using weighted finite-state transducers","display_name":"A system for automatic alignment of broadcast media captions using weighted finite-state transducers","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2292656914","doi":"https://doi.org/10.1109/asru.2015.7404861","mag":"2292656914"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2015.7404861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2015.7404861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/48815cb4-3057-415c-b3a5-5063f3551e3e","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102911387","display_name":"Peter Bell","orcid":"https://orcid.org/0000-0002-9597-9615"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter Bell","raw_affiliation_strings":["Centre for Speech Technology Research, University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Speech Technology Research, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027442277","display_name":"Steve Renals","orcid":"https://orcid.org/0000-0002-8790-3389"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steve Renals","raw_affiliation_strings":["Centre for Speech Technology Research, University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Speech Technology Research, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"675","last_page":"680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9988999962806702,"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":0.996399998664856,"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/computer-science","display_name":"Computer science","score":0.827831506729126},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5914211273193359},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5907323956489563},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.552885115146637},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5518492460250854},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.48666006326675415},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4817464351654053},{"id":"https://openalex.org/keywords/transducer","display_name":"Transducer","score":0.45963722467422485},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4192464351654053},{"id":"https://openalex.org/keywords/broadcasting","display_name":"Broadcasting (networking)","score":0.41614609956741333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3844733238220215},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3410930037498474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15542688965797424},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1365160346031189}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.827831506729126},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5914211273193359},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5907323956489563},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.552885115146637},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5518492460250854},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.48666006326675415},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4817464351654053},{"id":"https://openalex.org/C56318395","wikidata":"https://www.wikidata.org/wiki/Q215928","display_name":"Transducer","level":2,"score":0.45963722467422485},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4192464351654053},{"id":"https://openalex.org/C110157686","wikidata":"https://www.wikidata.org/wiki/Q922122","display_name":"Broadcasting (networking)","level":2,"score":0.41614609956741333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3844733238220215},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3410930037498474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15542688965797424},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1365160346031189},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/asru.2015.7404861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2015.7404861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/48815cb4-3057-415c-b3a5-5063f3551e3e","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/48815cb4-3057-415c-b3a5-5063f3551e3e","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bell, P & Renals, S 2015, A system for automatic alignment of broadcast media captions using weighted finite-state transducers. in 2015 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2015). Institute of Electrical and Electronics Engineers, pp. 675-680. https://doi.org/10.1109/ASRU.2015.7404861","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/48815cb4-3057-415c-b3a5-5063f3551e3e","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11820/48815cb4-3057-415c-b3a5-5063f3551e3e","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/48815cb4-3057-415c-b3a5-5063f3551e3e","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/48815cb4-3057-415c-b3a5-5063f3551e3e","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bell, P & Renals, S 2015, A system for automatic alignment of broadcast media captions using weighted finite-state transducers. in 2015 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2015). Institute of Electrical and Electronics Engineers, pp. 675-680. https://doi.org/10.1109/ASRU.2015.7404861","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4055593462","display_name":null,"funder_award_id":"EP/I031022/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W10731371","https://openalex.org/W85707815","https://openalex.org/W1245895196","https://openalex.org/W1517939602","https://openalex.org/W1524333225","https://openalex.org/W1630569004","https://openalex.org/W1895481600","https://openalex.org/W1975113979","https://openalex.org/W2015412875","https://openalex.org/W2054442733","https://openalex.org/W2084458093","https://openalex.org/W2090755665","https://openalex.org/W2105961775","https://openalex.org/W2107457864","https://openalex.org/W2131342762","https://openalex.org/W2145247325","https://openalex.org/W2341824394","https://openalex.org/W2397066715","https://openalex.org/W2402421109","https://openalex.org/W6600436803","https://openalex.org/W6631362777","https://openalex.org/W6679429981","https://openalex.org/W6704380518","https://openalex.org/W6712701789"],"related_works":["https://openalex.org/W2012283803","https://openalex.org/W4384820447","https://openalex.org/W2072454424","https://openalex.org/W2117438306","https://openalex.org/W2185942010","https://openalex.org/W2260725127","https://openalex.org/W2004297762","https://openalex.org/W1992056405","https://openalex.org/W1966826629","https://openalex.org/W767846903"],"abstract_inverted_index":{"We":[0],"describe":[1],"our":[2],"system":[3,67,96],"for":[4,92],"alignment":[5,18,83],"of":[6,19,30,48,61,100],"broadcast":[7],"media":[8,23],"captions":[9],"in":[10,27],"the":[11,28,42,49,53,62,86,103],"2015":[12],"MGB":[13,104],"Challenge.":[14],"A":[15],"precise":[16],"time":[17],"previously-generated":[20],"subtitles":[21,54],"to":[22,41,80],"data":[24],"is":[25,38],"important":[26],"process":[29],"caption":[31],"generation":[32],"by":[33],"broadcasters.":[34],"However,":[35],"this":[36],"task":[37],"challenging":[39,91],"due":[40],"highly":[43],"diverse,":[44],"often":[45],"noisy":[46],"content":[47],"audio,":[50],"and":[51],"because":[52],"are":[55],"frequently":[56],"not":[57],"a":[58,69],"verbatim":[59],"representation":[60],"actual":[63],"words":[64],"spoken.":[65],"Our":[66],"employs":[68],"two-pass":[70],"approach":[71],"with":[72],"appropriately":[73],"constrained":[74],"weighted":[75],"finite":[76],"state":[77],"transducers":[78],"(WFSTs)":[79],"enable":[81],"good":[82],"even":[84],"when":[85],"audio":[87],"quality":[88],"would":[89],"be":[90],"conventional":[93],"ASR.":[94],"The":[95],"achieves":[97],"an":[98],"f-score":[99],"0.8965":[101],"on":[102],"Challenge":[105],"development":[106],"set.":[107]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
