{"id":"https://openalex.org/W1606350000","doi":"https://doi.org/10.21437/interspeech.2015-716","title":"Complementary tasks for context-dependent deep neural network acoustic models","display_name":"Complementary tasks for context-dependent deep neural network acoustic models","publication_year":2015,"publication_date":"2015-09-06","ids":{"openalex":"https://openalex.org/W1606350000","doi":"https://doi.org/10.21437/interspeech.2015-716","mag":"1606350000"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2015-716","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-716","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":true,"oa_status":"green","oa_url":"http://hdl.handle.net/20.500.11820/e1625dd0-8167-4377-8f18-a2a1ee94dd11","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":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Bell","raw_affiliation_strings":["School of Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027442277","display_name":"Steve Renals","orcid":"https://orcid.org/0000-0002-8790-3389"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Steve Renals","raw_affiliation_strings":["School of Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3610","last_page":"3614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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/T11309","display_name":"Music and Audio Processing","score":0.9991000294685364,"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/T10860","display_name":"Speech and Audio Processing","score":0.9970999956130981,"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/task","display_name":"Task (project management)","score":0.803332507610321},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7356590628623962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7266057729721069},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6284986734390259},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.585163414478302},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.5429778099060059},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5408059358596802},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5191208720207214},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.46001100540161133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4275360703468323},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.41986560821533203},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.06684675812721252},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06346824765205383}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.803332507610321},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7356590628623962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7266057729721069},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6284986734390259},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.585163414478302},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.5429778099060059},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5408059358596802},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5191208720207214},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.46001100540161133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4275360703468323},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.41986560821533203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.06684675812721252},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06346824765205383},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2015-716","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-716","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:pure.ed.ac.uk:publications/e1625dd0-8167-4377-8f18-a2a1ee94dd11","is_oa":true,"landing_page_url":"http://www.isca-speech.org/archive/interspeech_2015/i15_3610.html","pdf_url":"http://hdl.handle.net/20.500.11820/e1625dd0-8167-4377-8f18-a2a1ee94dd11","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":""},{"id":"pmh:oai:pure.ed.ac.uk:openaire/e1625dd0-8167-4377-8f18-a2a1ee94dd11","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/e1625dd0-8167-4377-8f18-a2a1ee94dd11","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":"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, Complementary tasks for context-dependent deep neural network acoustic models. in INTERSPEECH 2015 16th Annual Conference of the International Speech Communication Association. pp. 3610-3614. < http://www.isca-speech.org/archive/interspeech_2015/i15_3610.html >","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:publications/e1625dd0-8167-4377-8f18-a2a1ee94dd11","is_oa":true,"landing_page_url":"http://www.isca-speech.org/archive/interspeech_2015/i15_3610.html","pdf_url":"http://hdl.handle.net/20.500.11820/e1625dd0-8167-4377-8f18-a2a1ee94dd11","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":""},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1606350000.pdf","grobid_xml":"https://content.openalex.org/works/W1606350000.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W173856587","https://openalex.org/W1499332833","https://openalex.org/W1503769282","https://openalex.org/W1520984722","https://openalex.org/W1545083717","https://openalex.org/W1553004968","https://openalex.org/W1824920909","https://openalex.org/W1972845249","https://openalex.org/W1979447841","https://openalex.org/W1989549063","https://openalex.org/W2019973879","https://openalex.org/W2033256038","https://openalex.org/W2046588080","https://openalex.org/W2093794678","https://openalex.org/W2094035326","https://openalex.org/W2104539041","https://openalex.org/W2125964738","https://openalex.org/W2126002878","https://openalex.org/W2136922672","https://openalex.org/W2137630452","https://openalex.org/W2151311453","https://openalex.org/W2153395570","https://openalex.org/W2160306971","https://openalex.org/W2296073425","https://openalex.org/W2914746235","https://openalex.org/W3202218022"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2002177687"],"abstract_inverted_index":{"We":[0,72,93],"have":[1],"previously":[2],"found":[3],"that":[4,64],"context-dependent":[5],"DNN":[6],"models":[7],"for":[8,25,79],"automatic":[9],"speech":[10],"recognition":[11,100],"can":[12],"be":[13,110],"improved":[14],"with":[15],"the":[16,26,32,36,51,60,74,91,103,118,125,128],"use":[17,61,75],"of":[18,39,45,54,62,76,90,106,127],"monophone":[19,46],"targets":[20,63,78,85],"as":[21],"a":[22,41,97],"secondary":[23],"task":[24,121],"network.":[27],"This":[28],"paper":[29],"asks":[30],"whether":[31],"improvements":[33,116],"derive":[34],"from":[35,59],"regularising":[37,104],"effect":[38,105],"having":[40],"much":[42],"small":[43],"number":[44,53],"outputs":[47,129],"\u2013":[48,57],"compared":[49],"to":[50,68,109],"typical":[52],"tied":[55,67],"states":[56],"or":[58],"are":[65],"not":[66],"an":[69],"arbitrary":[70],"stateclustering.":[71],"investigate":[73],"factorised":[77],"left":[80],"and":[81,84],"right":[82],"context,":[83],"motivated":[86],"by":[87],"articulatory":[88],"properties":[89],"phonemes.":[92],"present":[94],"results":[95],"on":[96],"large-vocabulary":[98],"lecture":[99],"task.":[101],"Although":[102],"monophones":[107],"seems":[108],"important,":[111],"all":[112],"schemes":[113],"give":[114],"substantial":[115],"over":[117],"baseline":[119],"single":[120],"system,":[122],"even":[123],"though":[124],"cardinality":[126],"is":[130],"relatively":[131],"high.":[132]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}