{"id":"https://openalex.org/W3197842028","doi":"https://doi.org/10.21437/interspeech.2021-817","title":"Auto-KWS 2021 Challenge: Task, Datasets, and Baselines","display_name":"Auto-KWS 2021 Challenge: Task, Datasets, and Baselines","publication_year":2021,"publication_date":"2021-08-27","ids":{"openalex":"https://openalex.org/W3197842028","doi":"https://doi.org/10.21437/interspeech.2021-817","mag":"3197842028"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2021-817","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","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/A5029729399","display_name":"Jingsong Wang","orcid":"https://orcid.org/0000-0003-2569-7265"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jingsong Wang","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000607183","display_name":"Yuxuan He","orcid":"https://orcid.org/0000-0002-4325-3783"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuxuan He","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101433858","display_name":"Chunyu Zhao","orcid":"https://orcid.org/0000-0002-3160-5585"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunyu Zhao","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018773485","display_name":"Qijie Shao","orcid":"https://orcid.org/0009-0000-2145-4077"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijie Shao","raw_affiliation_strings":["ASLP@NPU, Northwestern Polytechnical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASLP@NPU, Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032604295","display_name":"Wei-Wei Tu","orcid":"https://orcid.org/0000-0002-2407-0252"},"institutions":[{"id":"https://openalex.org/I157066012","display_name":"Gleason (United States)","ror":"https://ror.org/03bw04561","country_code":"US","type":"company","lineage":["https://openalex.org/I157066012"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Wei Tu","raw_affiliation_strings":["ChaLearn","4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ChaLearn","institution_ids":["https://openalex.org/I157066012"]},{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038062913","display_name":"Tom Ko","orcid":"https://orcid.org/0000-0002-5324-8961"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tom Ko","raw_affiliation_strings":["Department of Computer Science and Engineering Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Southern University of Science and Technology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040508737","display_name":"Hung-yi Lee","orcid":"https://orcid.org/0000-0002-9654-5747"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-yi Lee","raw_affiliation_strings":["College of Electrical Engineering and Computer Science, National Taiwan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Computer Science, National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066245750","display_name":"Lei Xie","orcid":"https://orcid.org/0000-0001-9051-2111"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xie","raw_affiliation_strings":["ASLP@NPU, Northwestern Polytechnical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASLP@NPU, Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029729399"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4244","last_page":"4248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9995999932289124,"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/keyword-spotting","display_name":"Keyword spotting","score":0.9593132138252258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8564636707305908},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7056107521057129},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6659110188484192},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.6618137955665588},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5800405740737915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5674905180931091},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5455533862113953},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5171341300010681},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4566681683063507},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4468657374382019},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34292519092559814},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3343455493450165},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08355998992919922}],"concepts":[{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.9593132138252258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8564636707305908},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7056107521057129},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6659110188484192},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.6618137955665588},{"id":"https://openalex.org/C2776756274","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5800405740737915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5674905180931091},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5455533862113953},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5171341300010681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4566681683063507},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4468657374382019},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34292519092559814},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3343455493450165},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08355998992919922},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2021-817","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1496120315","https://openalex.org/W1524333225","https://openalex.org/W2034940213","https://openalex.org/W2219249508","https://openalex.org/W2407023693","https://openalex.org/W2613303405","https://openalex.org/W2696967604","https://openalex.org/W2769912137","https://openalex.org/W2795183504","https://openalex.org/W2807071886","https://openalex.org/W2962959915","https://openalex.org/W2963571336","https://openalex.org/W2964187693","https://openalex.org/W2972943112","https://openalex.org/W2973049979","https://openalex.org/W2973157397","https://openalex.org/W2979476256","https://openalex.org/W2982223350","https://openalex.org/W3007913012","https://openalex.org/W3011966179","https://openalex.org/W3015574842","https://openalex.org/W3036601975","https://openalex.org/W3046052470","https://openalex.org/W3094791070","https://openalex.org/W3096606124","https://openalex.org/W3097810274","https://openalex.org/W3112034174","https://openalex.org/W3118331024","https://openalex.org/W3133600743","https://openalex.org/W4214794828","https://openalex.org/W4297808394","https://openalex.org/W4298277274","https://openalex.org/W4392271976"],"related_works":["https://openalex.org/W2918559346","https://openalex.org/W2114097550","https://openalex.org/W4286904253","https://openalex.org/W3119978414","https://openalex.org/W2516975559","https://openalex.org/W3206647229","https://openalex.org/W1969408022","https://openalex.org/W2000885660","https://openalex.org/W2545741539","https://openalex.org/W1989658893"],"abstract_inverted_index":{"Auto-KWS":[0,29,90],"2021":[1],"challenge":[2,30,38,78,116],"calls":[3],"for":[4],"automated":[5],"machine":[6,16],"learning":[7,17],"(AutoML)":[8],"solutions":[9],"to":[10,18,70,85,98,135],"automate":[11],"the":[12,32,41,48,77,103,107,113,120],"process":[13],"of":[14,43,76,122],"applying":[15],"a":[19,92,123],"customized":[20,44],"keyword":[21,26,45,128],"spotting":[22,27,129],"task.Compared":[23],"with":[24,59,112],"other":[25],"tasks,":[28],"has":[31],"following":[33],"three":[34],"characteristics:":[35],"1)":[36],"The":[37],"focuses":[39],"on":[40],"problem":[42],"spotting,":[46],"where":[47,95],"target":[49],"device":[50],"can":[51,64],"only":[52],"be":[53],"awakened":[54],"by":[55],"an":[56],"enrolled":[57],"speaker":[58,63],"his":[60,72],"specified":[61],"keyword.The":[62],"use":[65],"any":[66],"language":[67],"and":[68,109,126],"accent":[69],"define":[71],"keyword.2)":[73],"All":[74],"dataset":[75],"is":[79,84,91],"recorded":[80],"in":[81],"realistic":[82],"environment.It":[83],"simulate":[86],"different":[87],"user":[88],"scenarios.3)":[89],"\"code":[93],"competition\",":[94],"participants":[96,137],"need":[97],"submit":[99],"AutoML":[100],"solutions,":[101],"then":[102],"platform":[104],"automatically":[105],"runs":[106],"enrollment":[108],"prediction":[110],"steps":[111],"submitted":[114],"code.This":[115],"aims":[117],"at":[118],"promoting":[119],"development":[121],"more":[124],"personalized":[125],"flexible":[127],"system.Two":[130],"baseline":[131],"systems":[132],"are":[133],"provided":[134],"all":[136],"as":[138],"references.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}