{"id":"https://openalex.org/W4403598549","doi":"https://doi.org/10.1109/lsp.2024.3484328","title":"Meta-Prompt: Boosting Whisper's Performance in Low-Resource Speech Recognition","display_name":"Meta-Prompt: Boosting Whisper's Performance in Low-Resource Speech Recognition","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403598549","doi":"https://doi.org/10.1109/lsp.2024.3484328"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3484328","doi":"https://doi.org/10.1109/lsp.2024.3484328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3484328","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-b","jufo-2","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5101560152","display_name":"Yaqi Chen","orcid":"https://orcid.org/0000-0001-6301-802X","observed_orcids":["https://orcid.org/0000-0001-6301-802X","https://orcid.org/0009-0006-2790-7667"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaqi Chen","raw_affiliation_strings":["School of the Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6301-802X","affiliations":[{"raw_affiliation_string":"School of the Information Engineering University, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101583904","display_name":"Tong Niu","orcid":"https://orcid.org/0000-0002-0128-9657","observed_orcids":["https://orcid.org/0000-0002-0128-9657"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tong Niu","raw_affiliation_strings":["School of the Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0128-9657","affiliations":[{"raw_affiliation_string":"School of the Information Engineering University, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024433209","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0001-8852-6311","observed_orcids":["https://orcid.org/0000-0001-8852-6311","https://orcid.org/0000-0001-8055-7789"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["School of the Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8852-6311","affiliations":[{"raw_affiliation_string":"School of the Information Engineering University, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635256","display_name":"Wenlin Zhang","orcid":"https://orcid.org/0000-0002-6842-9722","observed_orcids":["https://orcid.org/0000-0002-6842-9722","https://orcid.org/0009-0004-2400-8207"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenlin Zhang","raw_affiliation_strings":["School of the Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6842-9722","affiliations":[{"raw_affiliation_string":"School of the Information Engineering University, Zhengzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001488518","display_name":"Dan Qu","orcid":"https://orcid.org/0000-0001-9917-7794","observed_orcids":["https://orcid.org/0000-0001-9917-7794"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Qu","raw_affiliation_strings":["School of the Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9917-7794","affiliations":[{"raw_affiliation_string":"School of the Information Engineering University, Zhengzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":0.1041,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35165479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"31","issue":null,"first_page":"3039","last_page":"3043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9984999895095825,"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":0.9984999895095825,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0007999999797903001,"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":0.00019999999494757503,"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/whisper","display_name":"Whisper","score":0.7860000133514404},{"id":"https://openalex.org/keywords/low-resource-speech-recognition","display_name":"low-resource speech recognition","score":0.8849999904632568},{"id":"https://openalex.org/keywords/prompt-tuning","display_name":"prompt tuning","score":0.878000020980835},{"id":"https://openalex.org/keywords/meta-learning","display_name":"meta-learning","score":0.968999981880188},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.9829999804496765},{"id":"https://openalex.org/keywords/parameter-efficient-fine-tuning","display_name":"parameter-efficient fine-tuning","score":0.828000009059906},{"id":"https://openalex.org/keywords/multilingual-speech-recognition","display_name":"multilingual speech recognition","score":0.8309999704360962}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7886911630630493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267868518829346},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6450845003128052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3822295069694519},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3427921533584595}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3484328","doi":"https://doi.org/10.1109/lsp.2024.3484328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3484328","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-b","jufo-2","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2727895085","display_name":null,"funder_award_id":"232300421240","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"},{"id":"https://openalex.org/G7804056170","display_name":null,"funder_award_id":"62171470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2520842129","https://openalex.org/W2604763608","https://openalex.org/W2913946806","https://openalex.org/W3030163527","https://openalex.org/W3098267758","https://openalex.org/W3152956381","https://openalex.org/W3169032173","https://openalex.org/W3198571508","https://openalex.org/W3205717164","https://openalex.org/W4225274946","https://openalex.org/W4285070173","https://openalex.org/W4297841687","https://openalex.org/W4311000453","https://openalex.org/W4319456769","https://openalex.org/W4319862635","https://openalex.org/W4372346241","https://openalex.org/W4375868933","https://openalex.org/W4385570451","https://openalex.org/W4385987638","https://openalex.org/W4390873802","https://openalex.org/W4391021530","https://openalex.org/W4392904451","https://openalex.org/W4402112032","https://openalex.org/W4402112052","https://openalex.org/W6780218876","https://openalex.org/W6796581206","https://openalex.org/W6850218400","https://openalex.org/W6852909395"],"related_works":["https://openalex.org/W4403939734","https://openalex.org/W7114923488","https://openalex.org/W4391021753","https://openalex.org/W7112378639","https://openalex.org/W2981858587","https://openalex.org/W7126019018","https://openalex.org/W4399265137","https://openalex.org/W4400527802","https://openalex.org/W7131269792","https://openalex.org/W4392909818"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,17,39,71],"large-scale":[3],"pre-trained":[4,44],"automatic":[5],"speech":[6,18,60,93],"recognition":[7,61,94],"(ASR)":[8],"foundation":[9],"models":[10,45],"(e.g.,":[11],"Whisper)":[12],"have":[13],"exhibited":[14],"remarkable":[15],"performance":[16,143],"processing":[19],"tasks.":[20,48],"A":[21],"recently":[22],"emerging":[23],"paradigm,":[24],"prompt":[25,149],"tuning,":[26],"offers":[27],"a":[28,69,88,108,145,152],"parameter-efficient":[29],"approach":[30],"for":[31,58,91,101],"fine-tuning,":[32],"which":[33],"has":[34],"proven":[35],"to":[36,46,76,80,148],"be":[37],"effective":[38],"enhancing":[40],"the":[41,55,72,97,115],"adaptation":[42],"of":[43,99,111,117],"downstream":[47],"In":[49],"this":[50,84],"paper,":[51],"we":[52,86,105],"first":[53],"explore":[54],"prompting":[56],"method":[57],"low-resource":[59,92],"based":[62],"on":[63,126],"Whisper.":[64],"Although":[65],"effective,":[66],"it":[67],"poses":[68],"challenge":[70],"few-shot":[73,157],"scenario":[74],"due":[75],"its":[77],"high":[78],"sensitivity":[79],"initialization.":[81],"To":[82],"address":[83],"problem,":[85],"propose":[87],"novel":[89],"meta-prompt":[90,112,140],"that":[95,113],"leverages":[96],"benefits":[98],"meta-learning":[100],"fast":[102],"learning.":[103],"Moreover,":[104],"further":[106],"present":[107],"lightweight":[109],"version":[110],"omits":[114],"learning":[116,158],"encoder-prompt,":[118],"reducing":[119],"computational":[120],"and":[121],"storage":[122],"costs.":[123],"Extensive":[124],"experiments":[125],"FLEURS":[127],"datasets":[128],"demonstrate":[129],"consistent":[130],"improvements":[131],"across":[132],"eleven":[133],"target":[134],"languages,":[135],"showing":[136],"better":[137],"generalizability.":[138],"Notably,":[139],"achieves":[141],"similar":[142],"with":[144,151],"20%-shot":[146],"compared":[147],"tuning":[150],"50%-shot":[153],"setting,":[154],"suggesting":[155],"excellent":[156],"ability.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2024-10-22T00:00:00"}