{"id":"https://openalex.org/W2936252403","doi":"https://doi.org/10.1109/icassp.2019.8683438","title":"Conditional Teacher-student Learning","display_name":"Conditional Teacher-student Learning","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2936252403","doi":"https://doi.org/10.1109/icassp.2019.8683438","mag":"2936252403"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.12399","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101749753","display_name":"Zhong Meng","orcid":"https://orcid.org/0000-0001-7814-5929"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhong Meng","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365053","display_name":"Jinyu Li","orcid":"https://orcid.org/0000-0002-1089-9748"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinyu Li","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702071","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0003-2644-952X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101928537","display_name":"Yifan Gong","orcid":"https://orcid.org/0000-0002-3912-097X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Gong","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101749753"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":8.0075,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.97884146,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"6445","last_page":"6449"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9914000034332275,"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/T10028","display_name":"Topic Modeling","score":0.9793000221252441,"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/dictation","display_name":"Dictation","score":0.7543610334396362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7283660173416138},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6434515714645386},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5206572413444519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4934927225112915},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47322049736976624},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4501776099205017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4087143540382385},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3719160258769989},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3630355894565582},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12983405590057373},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09563413262367249}],"concepts":[{"id":"https://openalex.org/C2779077324","wikidata":"https://www.wikidata.org/wiki/Q1087138","display_name":"Dictation","level":2,"score":0.7543610334396362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7283660173416138},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6434515714645386},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5206572413444519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4934927225112915},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47322049736976624},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4501776099205017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4087143540382385},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3719160258769989},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3630355894565582},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12983405590057373},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09563413262367249},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2019.8683438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1904.12399","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.12399","pdf_url":"https://arxiv.org/pdf/1904.12399","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.12399","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.12399","pdf_url":"https://arxiv.org/pdf/1904.12399","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1602122992","https://openalex.org/W1821462560","https://openalex.org/W1984541135","https://openalex.org/W1989549063","https://openalex.org/W1992475611","https://openalex.org/W2010362084","https://openalex.org/W2013598660","https://openalex.org/W2112021726","https://openalex.org/W2160306971","https://openalex.org/W2160815625","https://openalex.org/W2239847623","https://openalex.org/W2289394825","https://openalex.org/W2293634267","https://openalex.org/W2294543795","https://openalex.org/W2296748324","https://openalex.org/W2394882406","https://openalex.org/W2402040300","https://openalex.org/W2407793339","https://openalex.org/W2508162385","https://openalex.org/W2587088898","https://openalex.org/W2633884958","https://openalex.org/W2636483419","https://openalex.org/W2680270903","https://openalex.org/W2711861986","https://openalex.org/W2769025471","https://openalex.org/W2795867901","https://openalex.org/W2796339975","https://openalex.org/W2797969439","https://openalex.org/W2888858245","https://openalex.org/W2889500840","https://openalex.org/W2892025684","https://openalex.org/W2910715461","https://openalex.org/W2938486422","https://openalex.org/W2939164678","https://openalex.org/W2962894366","https://openalex.org/W2963331137","https://openalex.org/W2963376890","https://openalex.org/W2963523217","https://openalex.org/W2963726581","https://openalex.org/W2963736842","https://openalex.org/W2963864497","https://openalex.org/W3112742522","https://openalex.org/W3125118953","https://openalex.org/W6638523607","https://openalex.org/W6653897473","https://openalex.org/W6676587989","https://openalex.org/W6680549991","https://openalex.org/W6696912008","https://openalex.org/W6712847557","https://openalex.org/W6713823255","https://openalex.org/W6745924425","https://openalex.org/W6787533431"],"related_works":["https://openalex.org/W2353325398","https://openalex.org/W2558599680","https://openalex.org/W2367608902","https://openalex.org/W2359823483","https://openalex.org/W2392667367","https://openalex.org/W2381559703","https://openalex.org/W2353027778","https://openalex.org/W2381835873","https://openalex.org/W2938137567","https://openalex.org/W2381121659"],"abstract_inverted_index":{"The":[0,172],"teacher-student":[1],"(T/S)":[2],"learning":[3,27,63,108,153,187],"has":[4],"been":[5],"shown":[6],"to":[7,73,127,137],"be":[8],"effective":[9],"for":[10,188,194],"a":[11,30,51,60,67,97],"variety":[12],"of":[13,24,42,101],"problems":[14],"such":[15],"as":[16],"domain":[17,158],"adaptation":[18,159,165,190],"and":[19,123,143,163,177,191],"model":[20,49,70,79,115,134,193],"compression.":[21],"One":[22],"shortcoming":[23],"the":[25,47,77,81,88,93,102,106,113,117,128,132,141,147,151],"T/S":[26,62,186],"is":[28,109,121,135],"that":[29,45],"teacher":[31,78,89,114,118,142],"model,":[32],"not":[33],"always":[34],"perfect,":[35],"sporadically":[36],"produces":[37],"wrong":[38],"guidance":[39],"in":[40,65],"form":[41],"posterior":[43],"probabilities":[44],"misleads":[46],"student":[48,69,133],"towards":[50],"suboptimal":[52],"performance.":[53],"To":[54],"overcome":[55],"this":[56],"problem,":[57],"we":[58],"propose":[59],"conditional":[61,107],"scheme,":[64],"which":[66],"\"smart\"":[68],"selectively":[71],"chooses":[72],"learn":[74,138],"from":[75,140],"either":[76],"or":[80],"ground":[82,94,129],"truth":[83],"labels":[84],"conditioned":[85],"on":[86,155,160,166],"whether":[87],"can":[90],"correctly":[91],"predict":[92],"truth.":[95,130],"Unlike":[96],"naive":[98],"linear":[99],"combination":[100],"two":[103,156],"knowledge":[104],"sources,":[105],"exclusively":[110],"engaged":[111],"with":[112],"when":[116],"model's":[119],"prediction":[120],"correct,":[122],"otherwise":[124],"backs":[125],"off":[126],"Thus,":[131],"able":[136],"effectively":[139],"even":[144],"potentially":[145],"surpass":[146],"teacher.":[148],"We":[149],"examine":[150],"proposed":[152,173],"scheme":[154],"tasks:":[157],"CHiME-3":[161],"dataset":[162],"speaker":[164,195],"Microsoft":[167],"short":[168],"message":[169],"dictation":[170],"dataset.":[171],"method":[174],"achieves":[175],"9.8%":[176],"12.8%":[178],"relative":[179],"word":[180],"error":[181],"rate":[182],"reductions,":[183],"respectively,":[184],"over":[185],"environment":[189],"speaker-independent":[192],"adaptation.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}