{"id":"https://openalex.org/W2507699225","doi":"https://doi.org/10.21437/interspeech.2016-911","title":"Sequence Student-Teacher Training of Deep Neural Networks","display_name":"Sequence Student-Teacher Training of Deep Neural Networks","publication_year":2016,"publication_date":"2016-08-29","ids":{"openalex":"https://openalex.org/W2507699225","doi":"https://doi.org/10.21437/interspeech.2016-911","mag":"2507699225"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2016-911","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","raw_type":"proceedings-article"},"type":"article","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/A5048201022","display_name":"Jeremy H. M. Wong","orcid":"https://orcid.org/0000-0003-3742-7510"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jeremy H.M. Wong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050766679","display_name":"Mark Gales","orcid":"https://orcid.org/0000-0002-5311-8219"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark J.F. Gales","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048201022"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":19.7099,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.99276191,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2761","last_page":"2765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9959999918937683,"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":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7531057596206665},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7080077528953552},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6504479646682739},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6062403321266174},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5966582894325256},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.47140979766845703},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4412252902984619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43072062730789185},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4179503917694092},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38168513774871826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11274588108062744},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06848958134651184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7531057596206665},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7080077528953552},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6504479646682739},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6062403321266174},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5966582894325256},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.47140979766845703},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4412252902984619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43072062730789185},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4179503917694092},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38168513774871826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11274588108062744},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06848958134651184},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2016-911","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2161474341","https://openalex.org/W2495260952","https://openalex.org/W4366179611"],"abstract_inverted_index":{"The":[0,60],"performance":[1,97],"of":[2,52,58,74,113,119,143,148,158],"automatic":[3],"speech":[4,175,191],"recognition":[5,176],"can":[6,20],"often":[7,24],"be":[8,21,162],"significantly":[9],"improved":[10],"by":[11],"combining":[12],"multiple":[13,26],"systems":[14],"together.":[15],"Though":[16],"beneficial,":[17],"ensemble":[18,57,115,147],"methods":[19],"computationally":[22],"expensive,":[23],"requiring":[25],"decoding":[27],"runs.":[28],"An":[29],"alternative":[30],"approach,":[31],"appropriate":[32],"for":[33,107],"deep":[34],"learning":[35],"schemes,":[36],"is":[37,46,63,135],"to":[38,48,64,94,128,137,161],"adopt":[39],"student-teacher":[40,83,130,152,159],"training.":[41],"Here,":[42],"a":[43,53,178,185],"student":[44,67,134],"model":[45,68],"trained":[47,136],"reproduce":[49],"the":[50,66,70,75,80,114,120,129,133,139,144,156,194],"outputs":[51,73],"teacher":[54],"model,":[55],"or":[56,146],"teachers.":[59,149],"standard":[61],"approach":[62,154],"train":[65],"on":[69,173],"frame":[71],"posterior":[72,141],"teacher.":[76],"This":[77,122,150],"paper":[78,123],"examines":[79],"interaction":[81],"between":[82],"training":[84,88,112,118,153,160,167],"schemes":[85],"and":[86,116,184],"sequence":[87,109,151,166],"criteria,":[89],"which":[90],"have":[91],"been":[92],"shown":[93],"yield":[95],"significant":[96],"gains":[98],"over":[99],"frame-level":[100],"criteria.":[101],"There":[102],"are":[103,171],"several":[104],"possible":[105],"options":[106],"integrating":[108],"training,":[110],"including":[111],"further":[117],"student.":[121],"also":[124],"proposes":[125],"an":[126],"extension":[127],"framework,":[131],"where":[132],"emulate":[138],"hypothesis":[140],"distribution":[142],"teacher,":[145],"allows":[155],"benefit":[157],"directly":[163],"combined":[164],"with":[165],"schemes.":[168],"These":[169],"approaches":[170],"evaluated":[172],"two":[174],"tasks:":[177],"Wall":[179],"Street":[180],"Journal":[181],"based":[182],"task":[183,192],"low-resource":[186],"Tok":[187],"Pisin":[188],"conversational":[189],"telephone":[190],"from":[193],"IARPA":[195],"Babel":[196],"programme.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}