{"id":"https://openalex.org/W4205365644","doi":"https://doi.org/10.23919/eusipco54536.2021.9616009","title":"Adapting Sound Recognition to A New Environment Via Self-Training","display_name":"Adapting Sound Recognition to A New Environment Via Self-Training","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4205365644","doi":"https://doi.org/10.23919/eusipco54536.2021.9616009"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9616009","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616009","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"2021 29th European Signal Processing Conference (EUSIPCO)","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/A5055580486","display_name":"Janek Ebbers","orcid":null},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Janek Ebbers","raw_affiliation_strings":["Department of Communications Engineering, Paderborn University, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084533551","display_name":"Moritz Curt Keyser","orcid":null},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Moritz Curt Keyser","raw_affiliation_strings":["Department of Communications Engineering, Paderborn University, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082075598","display_name":"Reinhold Haeb\u2010Umbach","orcid":"https://orcid.org/0000-0001-9468-7330"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reinhold Haeb-Umbach","raw_affiliation_strings":["Department of Communications Engineering, Paderborn University, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055580486"],"corresponding_institution_ids":["https://openalex.org/I206945453"],"apc_list":null,"apc_paid":null,"fwci":0.172,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.39825386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1135","last_page":"1139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.766614556312561},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6526252627372742},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5745878219604492},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5627142190933228},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.45917677879333496},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44404298067092896},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.4380587339401245},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.426923930644989},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.423414945602417},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4210033416748047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3621845841407776},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34728091955184937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.766614556312561},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6526252627372742},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5745878219604492},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5627142190933228},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.45917677879333496},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44404298067092896},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.4380587339401245},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.426923930644989},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.423414945602417},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4210033416748047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3621845841407776},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34728091955184937},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9616009","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616009","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G3021292123","display_name":null,"funder_award_id":"282835863","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1578856370","https://openalex.org/W2251262031","https://openalex.org/W2408239454","https://openalex.org/W2509712787","https://openalex.org/W2592944988","https://openalex.org/W2593116425","https://openalex.org/W2759976799","https://openalex.org/W2883618873","https://openalex.org/W2911964244","https://openalex.org/W2962910554","https://openalex.org/W2963173418","https://openalex.org/W2982314246","https://openalex.org/W3036237438","https://openalex.org/W3094550259","https://openalex.org/W4287272682","https://openalex.org/W6631190155","https://openalex.org/W6634531637","https://openalex.org/W6691371174","https://openalex.org/W6749107692","https://openalex.org/W6753158756","https://openalex.org/W6779574021","https://openalex.org/W6791389598"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2909726438","https://openalex.org/W2281498195","https://openalex.org/W2067046791","https://openalex.org/W2909888262","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W2188304107","https://openalex.org/W2531741693","https://openalex.org/W2610740816"],"abstract_inverted_index":{"Recently,":[0],"there":[1,36],"has":[2],"been":[3],"a":[4,38,60,67,80,96,112,132],"rising":[5],"interest":[6],"in":[7,79],"sound":[8,29,113,150],"recognition":[9,30,114,165],"via":[10],"acoustic":[11],"sensor":[12],"networks":[13],"(ASNs)":[14],"to":[15,152],"support":[16],"applications":[17],"such":[18,52],"as":[19,53],"ambient":[20],"assisted":[21],"living":[22],"or":[23],"environmental":[24],"habitat":[25],"monitoring.":[26],"With":[27],"state-of-the-art":[28],"being":[31],"dominated":[32],"by":[33],"deep-learning-based":[34],"approaches,":[35],"is":[37,64,135,158,181],"high":[39],"demand":[40],"for":[41,124],"labeled":[42,174],"training":[43,57],"data.":[44],"Despite":[45],"the":[46,108,119,127,144,161,168,177,179],"availability":[47],"of":[48,87,147],"large-scale":[49],"data":[50,58,106,125,175],"sets":[51],"Google's":[54],"AudioSet,":[55,118],"acquiring":[56],"matching":[59],"certain":[61],"application":[62],"environment":[63,82,129,178],"still":[65],"often":[66],"problem.":[68],"In":[69],"this":[70],"paper":[71],"we":[72],"are":[73],"concerned":[74],"with":[75],"human":[76],"activity":[77],"monitoring":[78],"domestic":[81],"using":[83],"an":[84],"ASN":[85],"consisting":[86],"multiple":[88],"nodes":[89],"each":[90],"providing":[91],"multichannel":[92],"signals.":[93],"We":[94],"propose":[95],"self-training":[97],"based":[98],"domain":[99],"adaptation":[100],"approach,":[101],"which":[102,131],"only":[103],"requires":[104],"unlabeled":[105],"from":[107,126,176],"target":[109,128],"environment.":[110],"Here,":[111],"system":[115,180],"trained":[116],"on":[117,130,173],"teacher,":[120],"generates":[121],"pseudo":[122],"labels":[123],"student":[133,138,162],"network":[134],"trained.":[136],"The":[137],"can":[139],"furthermore":[140],"glean":[141],"information":[142],"about":[143],"spatial":[145],"arrangement":[146],"sensors":[148],"and":[149],"sources":[151],"further":[153],"improve":[154],"classification":[155],"performance.":[156],"It":[157],"shown":[159],"that":[160],"significantly":[163],"improves":[164],"performance":[166],"over":[167],"pre-trained":[169],"teacher":[170],"without":[171],"relying":[172],"deployed":[182],"in.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
