{"id":"https://openalex.org/W4283727191","doi":"https://doi.org/10.21437/interspeech.2022-947","title":"Personalized Keyword Spotting through Multi-task Learning","display_name":"Personalized Keyword Spotting through Multi-task Learning","publication_year":2022,"publication_date":"2022-09-16","ids":{"openalex":"https://openalex.org/W4283727191","doi":"https://doi.org/10.21437/interspeech.2022-947"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2022-947","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-947","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":"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/A5012112492","display_name":"Seung-Han Yang","orcid":"https://orcid.org/0000-0001-7842-0492"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Seunghan Yang","raw_affiliation_strings":["Qualcomm AI Research \u2020 , Qualcomm Korea YH, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research \u2020 , Qualcomm Korea YH, Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114080342","display_name":"Byeonggeun Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Byeonggeun Kim","raw_affiliation_strings":["Qualcomm AI Research \u2020 , Qualcomm Korea YH, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research \u2020 , Qualcomm Korea YH, Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001948765","display_name":"Inseop Chung","orcid":"https://orcid.org/0000-0002-7701-6639"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Inseop Chung","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea","Qualcomm AI Research \u2020 , Qualcomm Korea YH, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Qualcomm AI Research \u2020 , Qualcomm Korea YH, Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112998078","display_name":"Simyung Chang","orcid":"https://orcid.org/0000-0001-7750-191X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simyung Chang","raw_affiliation_strings":["Qualcomm AI Research \u2020 , Qualcomm Korea YH, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research \u2020 , Qualcomm Korea YH, Seoul, Republic of Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012112492"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1427,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79654169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1881","last_page":"1885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9939000010490417,"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/T12031","display_name":"Speech and dialogue systems","score":0.9939000010490417,"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/keyword-spotting","display_name":"Keyword spotting","score":0.9760135412216187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.866604208946228},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6363023519515991},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6068581938743591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.503241240978241},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.484785258769989},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.44841212034225464},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.42873576283454895},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.42258864641189575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3793485164642334}],"concepts":[{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.9760135412216187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.866604208946228},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6363023519515991},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6068581938743591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.503241240978241},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.484785258769989},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.44841212034225464},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.42873576283454895},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.42258864641189575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3793485164642334},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2022-947","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-947","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":23,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W2404126548","https://openalex.org/W2775572503","https://openalex.org/W2797583228","https://openalex.org/W2889182547","https://openalex.org/W2963466847","https://openalex.org/W2963879199","https://openalex.org/W2964187693","https://openalex.org/W2973226577","https://openalex.org/W3013020904","https://openalex.org/W3015287265","https://openalex.org/W3019293601","https://openalex.org/W3025581723","https://openalex.org/W3094707521","https://openalex.org/W3096976027","https://openalex.org/W3106901158","https://openalex.org/W3108878460","https://openalex.org/W3160521245","https://openalex.org/W3209042722","https://openalex.org/W4213341041","https://openalex.org/W4214488157","https://openalex.org/W4287123098","https://openalex.org/W4309845474"],"related_works":["https://openalex.org/W2918559346","https://openalex.org/W3119978414","https://openalex.org/W2114097550","https://openalex.org/W2516975559","https://openalex.org/W2545741539","https://openalex.org/W3206647229","https://openalex.org/W4286904253","https://openalex.org/W2000885660","https://openalex.org/W1969408022","https://openalex.org/W2117995638"],"abstract_inverted_index":{"Keyword":[0],"spotting":[1,73,92,103],"(KWS)":[2],"plays":[3],"an":[4],"essential":[5],"role":[6],"in":[7,27,37,140],"enabling":[8],"speech-based":[9],"user":[10,30,54,62,98],"interaction":[11],"on":[12,22,90,121],"smart":[13],"devices,":[14],"and":[15,58,83,93,123,126],"conventional":[16,122],"KWS":[17,50,56,64,115],"(C-KWS)":[18],"approaches":[19],"have":[20],"concentrated":[21],"detecting":[23],"user-agnostic":[24],"pre-defined":[25],"keywords.However,":[26],"practice,":[28],"most":[29],"interactions":[31],"come":[32],"from":[33],"target":[34],"users":[35],"enrolled":[36],"the":[38,67,101,113,127,135],"device":[39],"which":[40],"motivates":[41],"to":[42,96,100,110,112],"construct":[43],"personalized":[44,49,71,114,124],"keyword":[45,72,91,102],"spotting.We":[46],"design":[47,106],"two":[48],"tasks;":[51],"(1)":[52],"Target":[53,61],"Biased":[55],"(TB-KWS)":[57],"(":[59],"2)":[60],"Only":[63],"(TO-KWS).To":[65],"solve":[66],"tasks,":[68],"we":[69,85,105],"propose":[70],"through":[74],"multi-task":[75,81,88],"learning":[76,82,89],"(PK-MTL)":[77],"that":[78,130],"consists":[79],"of":[80],"task-adaptation.First,":[84],"introduce":[86],"applying":[87],"speaker":[94],"verification":[95],"leverage":[97],"information":[99],"system.Next,":[104],"task-specific":[107],"scoring":[108],"functions":[109],"adapt":[111],"tasks":[116],"thoroughly.We":[117],"evaluate":[118],"our":[119],"framework":[120],"scenarios,":[125],"results":[128],"show":[129],"PK-MTL":[131],"can":[132],"dramatically":[133],"reduce":[134],"false":[136],"alarm":[137],"rate,":[138],"especially":[139],"various":[141],"practical":[142],"scenarios.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}