{"id":"https://openalex.org/W4297399268","doi":"https://doi.org/10.48550/arxiv.2204.05409","title":"Unified Speech-Text Pre-training for Speech Translation and Recognition","display_name":"Unified Speech-Text Pre-training for Speech Translation and Recognition","publication_year":2022,"publication_date":"2022-04-11","ids":{"openalex":"https://openalex.org/W4297399268","doi":"https://doi.org/10.48550/arxiv.2204.05409"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2204.05409","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.05409","pdf_url":"https://arxiv.org/pdf/2204.05409","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":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2204.05409","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052049405","display_name":"Yun Tang","orcid":"https://orcid.org/0000-0003-2340-1109"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tang, Yun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103000746","display_name":"Hongyu Gong","orcid":"https://orcid.org/0000-0002-7071-0070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gong, Hongyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722683","display_name":"Ning Dong","orcid":"https://orcid.org/0000-0003-4089-8436"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Ning","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087491225","display_name":"Changhan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Changhan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051950818","display_name":"Wei-Ning Hsu","orcid":"https://orcid.org/0000-0001-5546-5217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hsu, Wei-Ning","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112542984","display_name":"Jiatao Gu","orcid":"https://orcid.org/0000-0003-3578-2711"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Jiatao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031979802","display_name":"Alexei Baevski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baevski, Alexei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425999","display_name":"Xian Li","orcid":"https://orcid.org/0000-0001-5714-3940"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101170706","display_name":"Abdelrahman Mohamed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed, Abdelrahman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083212922","display_name":"Michael Auli","orcid":"https://orcid.org/0000-0001-5974-4459"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Auli, Michael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5058915697","display_name":"Juan Pino","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pino, Juan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5052049405"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.998199999332428,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.998199999332428,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9973000288009644,"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":0.9887999892234802,"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":0.8031780123710632},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7212417125701904},{"id":"https://openalex.org/keywords/speech-translation","display_name":"Speech translation","score":0.6382983922958374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6189315915107727},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6122324466705322},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5646600127220154},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5046783685684204},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4877477288246155},{"id":"https://openalex.org/keywords/speech-technology","display_name":"Speech technology","score":0.41913890838623047},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.38456517457962036},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.35310640931129456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8031780123710632},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7212417125701904},{"id":"https://openalex.org/C2780366754","wikidata":"https://www.wikidata.org/wiki/Q7494857","display_name":"Speech translation","level":3,"score":0.6382983922958374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6189315915107727},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6122324466705322},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5646600127220154},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5046783685684204},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4877477288246155},{"id":"https://openalex.org/C504749915","wikidata":"https://www.wikidata.org/wiki/Q9010971","display_name":"Speech technology","level":3,"score":0.41913890838623047},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.38456517457962036},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.35310640931129456},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2204.05409","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.05409","pdf_url":"https://arxiv.org/pdf/2204.05409","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":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2204.05409","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2204.05409","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2204.05409","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.05409","pdf_url":"https://arxiv.org/pdf/2204.05409","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":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2338806053","https://openalex.org/W4385571610","https://openalex.org/W2500421879","https://openalex.org/W29040644","https://openalex.org/W2184371793","https://openalex.org/W2186688931","https://openalex.org/W2293738010","https://openalex.org/W1883279817","https://openalex.org/W4205598694","https://openalex.org/W2537969829"],"abstract_inverted_index":{"We":[0],"describe":[1],"a":[2,42],"method":[3,22,111],"to":[4,45,62,102,145],"jointly":[5],"pre-train":[6],"speech":[7,16,35,39,58,64,82,95,115,139,151],"and":[8,18,26,41,65,97,116,126,142],"text":[9,44,46,52,66,78,117],"in":[10,72],"an":[11],"encoder-decoder":[12],"modeling":[13,67],"framework":[14],"for":[15,29,94],"translation":[17,96,140],"recognition.":[19],"The":[20],"proposed":[21,110],"incorporates":[23],"four":[24],"self-supervised":[25,34],"supervised":[27,57],"subtasks":[28],"cross":[30],"modality":[31],"learning.":[32],"A":[33],"subtask":[36,47,104],"leverages":[37],"unlabelled":[38],"data,":[40],"(self-)supervised":[43],"makes":[48],"use":[49],"of":[50,133],"abundant":[51],"training":[53],"data.":[54],"Two":[55,91],"auxiliary":[56],"tasks":[59],"are":[60,100],"included":[61],"unify":[63],"space.":[68],"Our":[69,106],"contribution":[70],"lies":[71],"integrating":[73],"linguistic":[74],"information":[75,118],"from":[76],"the":[77,81,109,131,134,137,149],"corpus":[79],"into":[80,119],"pre-training.":[83],"Detailed":[84],"analysis":[85],"reveals":[86],"learning":[87],"interference":[88],"among":[89],"subtasks.":[90],"pre-training":[92],"configurations":[93],"recognition,":[98],"respectively,":[99],"presented":[101],"alleviate":[103],"interference.":[105],"experiments":[107],"show":[108],"can":[112],"effectively":[113],"fuse":[114],"one":[120],"model.":[121],"It":[122],"achieves":[123],"between":[124],"1.7":[125],"2.3":[127],"BLEU":[128],"improvement":[129],"above":[130],"state":[132],"art":[135],"on":[136,148],"MuST-C":[138],"dataset":[141],"comparable":[143],"WERs":[144],"wav2vec":[146],"2.0":[147],"Librispeech":[150],"recognition":[152],"task.":[153]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}