{"id":"https://openalex.org/W4297841441","doi":"https://doi.org/10.21437/interspeech.2022-709","title":"Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech Recognition","display_name":"Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech Recognition","publication_year":2022,"publication_date":"2022-09-16","ids":{"openalex":"https://openalex.org/W4297841441","doi":"https://doi.org/10.21437/interspeech.2022-709"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2022-709","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-709","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2022","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100624455","display_name":"Ye Bai","orcid":"https://orcid.org/0000-0001-5533-6909"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Bai","raw_affiliation_strings":["Kuaishou Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428285","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-7561-7043"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Kuaishou Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100538929","display_name":"Wenjing Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Han","raw_affiliation_strings":["Kuaishou Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619564","display_name":"Hao Ni","orcid":"https://orcid.org/0009-0000-0164-9571"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Ni","raw_affiliation_strings":["Kuaishou Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046129146","display_name":"Kaituo Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaituo Xu","raw_affiliation_strings":["Kuaishou Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429710","display_name":"Zhuo Zhang","orcid":"https://orcid.org/0000-0002-6515-0021"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Zhang","raw_affiliation_strings":["Kuaishou Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101664876","display_name":"Yi Cheng","orcid":"https://orcid.org/0000-0002-2125-1218"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Yi","raw_affiliation_strings":["Kuaishou Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100658019","display_name":"Xiaorui Wang","orcid":"https://orcid.org/0000-0001-9633-1418"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorui Wang","raw_affiliation_strings":["Kuaishou Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4401726859"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1676","last_page":"1680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":1.0,"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":1.0,"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":0.9991000294685364,"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":0.9973999857902527,"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/end-to-end-principle","display_name":"End-to-end principle","score":0.8139054775238037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6534634828567505},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5458815097808838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3260710835456848}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.8139054775238037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6534634828567505},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5458815097808838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3260710835456848}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2022-709","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-709","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2022","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1524333225","https://openalex.org/W1821462560","https://openalex.org/W1828163288","https://openalex.org/W2327501763","https://openalex.org/W2402040300","https://openalex.org/W2407080277","https://openalex.org/W2567070169","https://openalex.org/W2866343820","https://openalex.org/W2892009249","https://openalex.org/W2936774411","https://openalex.org/W2948981900","https://openalex.org/W2963242190","https://openalex.org/W2963925437","https://openalex.org/W2964110616","https://openalex.org/W2972778435","https://openalex.org/W2975381464","https://openalex.org/W2996428491","https://openalex.org/W3004127093","https://openalex.org/W3034772996","https://openalex.org/W3095221623","https://openalex.org/W3097777922","https://openalex.org/W3138895808","https://openalex.org/W3176828726","https://openalex.org/W3196950043","https://openalex.org/W4225302952","https://openalex.org/W4283815817","https://openalex.org/W4287121196","https://openalex.org/W4287391717","https://openalex.org/W4293718192","https://openalex.org/W4295312788","https://openalex.org/W4320930577","https://openalex.org/W4385245566","https://openalex.org/W4394666973"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3179968364","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W1999612375","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"While":[0],"transformers":[1],"and":[2,22,109],"their":[3],"variant":[4],"conformers":[5],"show":[6,122],"promising":[7],"performance":[8,129],"in":[9],"speech":[10],"recognition,":[11],"the":[12,30,33,35,41,64,73,76,84,92,96,106,119,124,133,136,140],"parameterized":[13],"property":[14],"leads":[15],"to":[16,28,62,90,116],"much":[17],"memory":[18],"cost":[19],"during":[20],"training":[21],"inference.Some":[23],"works":[24],"use":[25,58,113],"cross-layer":[26],"weight-sharing":[27],"reduce":[29],"parameters":[31,74,87,134],"of":[32,38,66,75,86,98,132,135],"model.However,":[34],"inevitable":[36],"loss":[37],"capacity":[39,65],"harms":[40],"model":[42,126],"performance.To":[43],"address":[44],"this":[45,47],"issue,":[46],"paper":[48],"proposes":[49],"a":[50,67],"parameter-efficient":[51],"conformer":[52,68,78],"via":[53],"sharing":[54],"sparsely-gated":[55,59],"experts.Specifically,":[56],"we":[57,104,112],"mixture-of-experts":[60],"(MoE)":[61],"extend":[63],"block":[69],"without":[70],"increasing":[71],"computation.Then,":[72],"grouped":[77],"blocks":[79,94],"are":[80],"shared":[81,93],"so":[82],"that":[83,123],"number":[85],"is":[88],"reduced.Next,":[89],"ensure":[91],"with":[95,130,139],"flexibility":[97],"adapting":[99],"representations":[100],"at":[101],"different":[102],"levels,":[103],"design":[105],"MoE":[107],"routers":[108],"normalization":[110],"individually.Moreover,":[111],"knowledge":[114],"distillation":[115],"further":[117],"improve":[118],"performance.Experimental":[120],"results":[121],"proposed":[125],"achieves":[127],"competitive":[128],"1/3":[131],"encoder,":[137],"compared":[138],"full-parameter":[141],"model.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
