{"id":"https://openalex.org/W3099701846","doi":"https://doi.org/10.1109/icassp39728.2021.9413905","title":"Efficient Knowledge Distillation for RNN-Transducer Models","display_name":"Efficient Knowledge Distillation for RNN-Transducer Models","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3099701846","doi":"https://doi.org/10.1109/icassp39728.2021.9413905","mag":"3099701846"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.06110","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062398886","display_name":"Sankaran Panchapagesan","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sankaran Panchapagesan","raw_affiliation_strings":["Google LLC,U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google LLC,U.S.A","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613715","display_name":"Daniel Park","orcid":"https://orcid.org/0000-0002-1919-0460"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel S. Park","raw_affiliation_strings":["Google LLC,U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google LLC,U.S.A","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027763497","display_name":"Chung\u2010Cheng Chiu","orcid":"https://orcid.org/0000-0001-9729-4778"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chung-Cheng Chiu","raw_affiliation_strings":["Google LLC,U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google LLC,U.S.A","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047358828","display_name":"Yuan Shangguan","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Shangguan","raw_affiliation_strings":["Google LLC,U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google LLC,U.S.A","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026297587","display_name":"Qiao Liang","orcid":"https://orcid.org/0000-0003-4464-4644"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiao Liang","raw_affiliation_strings":["Google LLC,U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google LLC,U.S.A","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012096308","display_name":"Alexander Gruenstein","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Gruenstein","raw_affiliation_strings":["Google LLC,U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google LLC,U.S.A","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5639","last_page":"5643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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":0.9970999956130981,"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/distillation","display_name":"Distillation","score":0.8738112449645996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6908117532730103},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6530622839927673},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.46491748094558716},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41845113039016724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31509536504745483},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09440505504608154}],"concepts":[{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.8738112449645996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6908117532730103},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6530622839927673},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.46491748094558716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41845113039016724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31509536504745483},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09440505504608154},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2011.06110","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.06110","pdf_url":"https://arxiv.org/pdf/2011.06110","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3099701846","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2011.06110.pdf","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2011.06110","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2011.06110","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.17023/jmqy-sr61","is_oa":true,"landing_page_url":"https://doi.org/10.17023/jmqy-sr61","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Audiovisual"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2011.06110","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.06110","pdf_url":"https://arxiv.org/pdf/2011.06110","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3099701846.pdf","grobid_xml":"https://content.openalex.org/works/W3099701846.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1821462560","https://openalex.org/W1828163288","https://openalex.org/W1989549063","https://openalex.org/W2127141656","https://openalex.org/W2151484683","https://openalex.org/W2160815625","https://openalex.org/W2291513470","https://openalex.org/W2294370754","https://openalex.org/W2327501763","https://openalex.org/W2508418541","https://openalex.org/W2617258110","https://openalex.org/W2711861986","https://openalex.org/W2747909401","https://openalex.org/W2764043458","https://openalex.org/W2889129739","https://openalex.org/W2892008152","https://openalex.org/W2910715461","https://openalex.org/W2913178639","https://openalex.org/W2936774411","https://openalex.org/W2936993002","https://openalex.org/W2962760690","https://openalex.org/W2963122170","https://openalex.org/W2963376890","https://openalex.org/W2963403868","https://openalex.org/W2963864497","https://openalex.org/W2973040747","https://openalex.org/W2975044525","https://openalex.org/W3008008574","https://openalex.org/W3015995734","https://openalex.org/W3025165719","https://openalex.org/W3093346109","https://openalex.org/W3095173472","https://openalex.org/W3096518646","https://openalex.org/W3097777922","https://openalex.org/W3162309234","https://openalex.org/W6638523607","https://openalex.org/W6638749077","https://openalex.org/W6682194319","https://openalex.org/W6739901393","https://openalex.org/W6745148473","https://openalex.org/W6746331415","https://openalex.org/W6749954789","https://openalex.org/W6755166560","https://openalex.org/W6768205276","https://openalex.org/W6771250757","https://openalex.org/W6778067029","https://openalex.org/W6784800133"],"related_works":["https://openalex.org/W3162649911","https://openalex.org/W2100729928","https://openalex.org/W169137404","https://openalex.org/W2982115814","https://openalex.org/W3183677401","https://openalex.org/W3002772968","https://openalex.org/W3201203917","https://openalex.org/W3097629360","https://openalex.org/W2889502381","https://openalex.org/W3205302036","https://openalex.org/W3120751998","https://openalex.org/W3160560632","https://openalex.org/W3128943006","https://openalex.org/W2392629075","https://openalex.org/W2990867532","https://openalex.org/W3135116550","https://openalex.org/W2059706505","https://openalex.org/W1887566590","https://openalex.org/W3140837271","https://openalex.org/W1871476468"],"abstract_inverted_index":{"Knowledge":[0],"Distillation":[1,17],"is":[2,63],"an":[3,30],"effective":[4],"method":[5,44],"of":[6,24,86,94,116,128,143,150],"transferring":[7],"knowledge":[8],"from":[9,76],"a":[10,14,22,42,49,102,134,155,165],"large":[11],"model":[12,25],"to":[13],"smaller":[15],"model.":[16,168],"can":[18],"be":[19],"viewed":[20],"as":[21,109],"type":[23],"compression,":[26],"and":[27,65,67,72,118,130],"has":[28],"played":[29],"important":[31],"role":[32],"for":[33,45,55,164],"on-device":[34],"ASR":[35],"applications.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,124],"develop":[41],"distillation":[43,61,115,152],"RNN-Transducer":[46],"(RNN-T)":[47],"models,":[48,123],"popular":[50],"end-to-end":[51],"neural":[52],"network":[53],"architecture":[54],"streaming":[56],"speech":[57],"recognition.":[58],"Our":[59],"proposed":[60,88],"loss":[62,153],"simple":[64],"efficient,":[66],"uses":[68],"only":[69],"the":[70,77,84,87,92,110,148,151,161],"\"y\"":[71],"\"blank\"":[73],"posterior":[74],"probabilities":[75],"RNN-T":[78,96,122],"output":[79],"probability":[80],"lattice.":[81],"We":[82,139],"study":[83],"effectiveness":[85],"approach":[89],"in":[90],"improving":[91],"accuracy":[93],"sparse":[95,120],"models":[97],"obtained":[98],"by":[99],"gradually":[100],"pruning":[101],"larger":[103],"uncompressed":[104],"model,":[105],"which":[106],"also":[107,140],"serves":[108],"teacher":[111],"during":[112],"distillation.":[113],"With":[114],"60%":[117],"90%":[119],"multi-domain":[121],"obtain":[125],"WER":[126,158],"reductions":[127],"4.3%":[129],"12.1%":[131],"respectively,":[132],"on":[133,145,160],"noisy":[135],"FarField":[136],"eval":[137],"set.":[138],"present":[141],"results":[142],"experiments":[144],"LibriSpeech,":[146],"where":[147],"introduction":[149],"yields":[154],"4.8%":[156],"relative":[157],"reduction":[159],"test-other":[162],"dataset":[163],"small":[166],"Conformer":[167]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
