{"id":"https://openalex.org/W4392909818","doi":"https://doi.org/10.1109/icassp48485.2024.10447004","title":"Sparsely Shared Lora on Whisper for Child Speech Recognition","display_name":"Sparsely Shared Lora on Whisper for Child Speech Recognition","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392909818","doi":"https://doi.org/10.1109/icassp48485.2024.10447004"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5100431960","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-2376-8974"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Liu","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Electronic Engineering","Department of Electronic Engineering, The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Electronic Engineering","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013250925","display_name":"Ying Qin","orcid":"https://orcid.org/0000-0003-4606-7174"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Qin","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University,Beijing,China,100044"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075223216","display_name":"Zhiyuan Peng","orcid":"https://orcid.org/0000-0002-9870-4422"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Peng","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Electronic Engineering","Department of Electronic Engineering, The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Electronic Engineering","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001795601","display_name":"Tan Lee","orcid":"https://orcid.org/0000-0002-7089-3436"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tan Lee","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Electronic Engineering","Department of Electronic Engineering, The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Electronic Engineering","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100431960"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":3.1085,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91807256,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"11751","last_page":"11755"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.7574999928474426,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.7574999928474426,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.773072361946106},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5218892693519592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.773072361946106},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5218892693519592}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2963242190","https://openalex.org/W3036601975","https://openalex.org/W3113594615","https://openalex.org/W3145048926","https://openalex.org/W3161873458","https://openalex.org/W3174770825","https://openalex.org/W3176828726","https://openalex.org/W3177323791","https://openalex.org/W3199511834","https://openalex.org/W3213029956","https://openalex.org/W4205991051","https://openalex.org/W4280534475","https://openalex.org/W4322766882","https://openalex.org/W4323066695","https://openalex.org/W4378105483","https://openalex.org/W4380715573","https://openalex.org/W4385245566","https://openalex.org/W4385570973","https://openalex.org/W4385573496","https://openalex.org/W6759579507","https://openalex.org/W6771467084","https://openalex.org/W6780218876","https://openalex.org/W6787141514","https://openalex.org/W6796581206","https://openalex.org/W6802744804","https://openalex.org/W6837789219","https://openalex.org/W6839423864","https://openalex.org/W6847363464","https://openalex.org/W6850218400","https://openalex.org/W6852909395","https://openalex.org/W6853274917"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Whisper":[0],"is":[1,28,118,139,205],"a":[2,22,54,119,131],"powerful":[3],"automatic":[4],"speech":[5,15,171],"recognition":[6],"(ASR)":[7],"model.":[8],"Nevertheless,":[9],"its":[10,156],"zero-shot":[11],"performance":[12,185],"on":[13,72,167,193],"low-resource":[14,26,168],"requires":[16],"further":[17],"improvement.":[18],"Child":[19],"speech,":[20,27],"as":[21,85,91],"representative":[23],"type":[24],"of":[25,57,81],"leveraged":[29],"for":[30,69],"adaptation.":[31],"Recently,":[32],"parameter-efficient":[33],"fine-tuning":[34],"(PEFT)":[35],"in":[36],"NLP":[37],"was":[38],"shown":[39],"to":[40,52,154,163,186,207,211],"be":[41,164],"comparable":[42,182],"and":[43,87,109,111,188],"even":[44],"better":[45,190],"than":[46],"full":[47],"fine-tuning,":[48],"while":[49],"only":[50,77,152],"needing":[51],"tune":[53],"small":[55],"set":[56],"trainable":[58,177],"parameters.":[59],"However,":[60],"current":[61],"PEFT":[62,82,101,133],"methods":[63,102],"have":[64,208],"not":[65,94],"been":[66],"well":[67],"examined":[68],"their":[70],"effectiveness":[71],"Whisper.":[73],"In":[74,196],"this":[75],"paper,":[76],"parameter":[78],"composition":[79],"types":[80],"approaches":[83],"such":[84],"LoRA":[86,108,137],"Bitfit":[88],"are":[89,103,146,161],"investigated":[90],"they":[92],"do":[93],"bring":[95],"extra":[96],"inference":[97],"costs.":[98],"Different":[99],"popular":[100],"examined.":[104],"Particularly,":[105],"we":[106],"compare":[107],"AdaLoRA":[110,187],"figure":[112],"out":[113],"the":[114,124,198],"learnable":[115],"rank":[116,126,158,199],"coefficient":[117],"good":[120],"design.":[121],"Inspired":[122],"by":[123,129,203],"sparse":[125],"distribution":[127,200],"allocated":[128],"AdaLoRA,":[130],"novel":[132],"approach":[134],"Sparsely":[135],"Shared":[136],"(S2-LoRA)":[138],"proposed.":[140],"The":[141],"two":[142],"low-rank":[143],"decomposed":[144],"matrices":[145],"globally":[147],"shared.":[148],"Each":[149],"weight":[150],"matrix":[151],"has":[153],"maintain":[155],"specific":[157],"coefficients":[159],"that":[160,173],"constrained":[162],"sparse.":[165],"Experiments":[166],"Chinese":[169],"child":[170],"show":[172],"with":[174],"much":[175],"fewer":[176],"parameters,":[178],"S2-LoRA":[179,204],"can":[180],"achieve":[181],"in-domain":[183],"adaptation":[184],"exhibit":[189],"generalization":[191],"ability":[192],"out-of-domain":[194],"data.":[195],"addition,":[197],"automatically":[201],"learned":[202],"found":[206],"similar":[209],"patterns":[210],"AdaLoRA\u2019s":[212],"allocation.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}