{"id":"https://openalex.org/W2963523217","doi":"https://doi.org/10.1109/icassp.2018.8462209","title":"Developing Far-Field Speaker System Via Teacher-Student Learning","display_name":"Developing Far-Field Speaker System Via Teacher-Student Learning","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2963523217","doi":"https://doi.org/10.1109/icassp.2018.8462209","mag":"2963523217"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5100365053","display_name":"Jinyu Li","orcid":"https://orcid.org/0000-0002-1089-9748"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jinyu Li","raw_affiliation_strings":["Microsoft AI & Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft AI & Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101987526","display_name":"Rui Zhao","orcid":"https://orcid.org/0000-0002-9699-9984"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Zhao","raw_affiliation_strings":["Microsoft AI & Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft AI & Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345092","display_name":"Zhuo Chen","orcid":"https://orcid.org/0000-0002-9011-7928"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuo Chen","raw_affiliation_strings":["Microsoft AI & Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft AI & Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022890229","display_name":"Changliang Liu","orcid":"https://orcid.org/0009-0005-8201-0871"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changliang Liu","raw_affiliation_strings":["Microsoft AI & Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft AI & Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602536","display_name":"Xiong Xiao","orcid":"https://orcid.org/0009-0001-5128-6518"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiong Xiao","raw_affiliation_strings":["Microsoft AI & Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft AI & Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008578397","display_name":"Guoli Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoli Ye","raw_affiliation_strings":["Microsoft AI & Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft AI & Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101928537","display_name":"Yifan Gong","orcid":"https://orcid.org/0000-0002-3912-097X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Gong","raw_affiliation_strings":["Microsoft AI & Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft AI & Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100365053"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":7.004,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97567656,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5699","last_page":"5703"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994000196456909,"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/computer-science","display_name":"Computer science","score":0.8114148378372192},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7564000487327576},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.639240026473999},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.633644700050354},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6142527461051941},{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.574026346206665},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5076345205307007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5029365420341492},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.48680612444877625},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4767093062400818},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.45954152941703796},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42717546224594116},{"id":"https://openalex.org/keywords/performance-improvement","display_name":"Performance improvement","score":0.4236883223056793},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.41771724820137024},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3421238660812378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8114148378372192},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7564000487327576},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.639240026473999},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.633644700050354},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6142527461051941},{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.574026346206665},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5076345205307007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5029365420341492},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.48680612444877625},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4767093062400818},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.45954152941703796},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42717546224594116},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.4236883223056793},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.41771724820137024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3421238660812378},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8462209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1533416326","https://openalex.org/W1553469512","https://openalex.org/W1567690964","https://openalex.org/W1571447047","https://openalex.org/W1770758908","https://openalex.org/W1821462560","https://openalex.org/W1987238397","https://openalex.org/W1992475611","https://openalex.org/W2010362084","https://openalex.org/W2056738732","https://openalex.org/W2064675550","https://openalex.org/W2117239706","https://openalex.org/W2117678320","https://openalex.org/W2127141656","https://openalex.org/W2136933783","https://openalex.org/W2160815625","https://openalex.org/W2289394825","https://openalex.org/W2293009711","https://openalex.org/W2293634267","https://openalex.org/W2294543795","https://openalex.org/W2296516251","https://openalex.org/W2396384435","https://openalex.org/W2400108189","https://openalex.org/W2402040300","https://openalex.org/W2507699225","https://openalex.org/W2508162385","https://openalex.org/W2512865187","https://openalex.org/W2559260703","https://openalex.org/W2622203030","https://openalex.org/W2711861986","https://openalex.org/W2735006420","https://openalex.org/W2749659773","https://openalex.org/W2787290364","https://openalex.org/W2962894366","https://openalex.org/W2962962542","https://openalex.org/W2963864497","https://openalex.org/W2963970535","https://openalex.org/W2964182776","https://openalex.org/W6639822467","https://openalex.org/W6664430995","https://openalex.org/W6677632922","https://openalex.org/W6696912008","https://openalex.org/W6696934422","https://openalex.org/W6696982659","https://openalex.org/W6697811694","https://openalex.org/W6712195726","https://openalex.org/W6712648878","https://openalex.org/W6712847557","https://openalex.org/W6722866051","https://openalex.org/W6730321509","https://openalex.org/W6738686518","https://openalex.org/W6740284675","https://openalex.org/W6748052321","https://openalex.org/W6749557976","https://openalex.org/W6749566584"],"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":{"In":[0],"this":[1],"study,":[2],"we":[3,20],"develop":[4],"the":[5,59,64,76,81,91,102,112],"keyword":[6],"spotting":[7],"(KWS)":[8],"and":[9,38,84,97,116,125],"acoustic":[10],"model":[11,52,77,86,133,144],"(AM)":[12],"components":[13],"in":[14,79],"a":[15,27,49,54,141],"far-field":[16,33,40],"speaker":[17],"system.":[18],"Specifically,":[19],"use":[21,44],"teacher-student":[22],"(T/S)":[23],"learning":[24,46,69],"to":[25,32,47,57,74,100],"adapt":[26],"close-talk":[28,37],"well-trained":[29],"production":[30],"AM":[31,82,109],"by":[34,114,137],"using":[35],"parallel":[36],"simulated":[39],"data.":[41],"We":[42,88],"also":[43],"T/S":[45,68],"compress":[48],"large-size":[50,142],"KWS":[51,85,132,143],"into":[53],"small-size":[55],"one":[56],"fit":[58],"device":[60],"computational":[61],"cost.":[62],"Without":[63],"need":[65],"of":[66,105],"transcription,":[67],"well":[70],"utilizes":[71],"untranscribed":[72],"data":[73,99],"boost":[75],"performance":[78,104],"both":[80],"adaptation":[83],"compression.":[87],"further":[89],"optimize":[90],"models":[92],"with":[93],"sequence":[94],"discriminative":[95],"training":[96],"live":[98,126],"reach":[101],"best":[103],"systems.":[106],"The":[107,130],"adapted":[108],"improved":[110],"from":[111,140],"baseline":[113],"72.60%":[115],"57.16%":[117],"relative":[118],"word":[119],"error":[120],"rate":[121],"reduction":[122],"on":[123],"play-back":[124],"test":[127],"data,":[128],"respectively.":[129],"final":[131],"size":[134],"was":[135],"reduced":[136],"27":[138],"times":[139],"without":[145],"losing":[146],"accuracy.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
