{"id":"https://openalex.org/W4389313615","doi":"https://doi.org/10.1109/ieeeconf59510.2023.10335455","title":"Unsupervised Feature-Space Domain Adaptation applied for Audio Classification","display_name":"Unsupervised Feature-Space Domain Adaptation applied for Audio Classification","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4389313615","doi":"https://doi.org/10.1109/ieeeconf59510.2023.10335455"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf59510.2023.10335455","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59510.2023.10335455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Symposium on the Internet of Sounds","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/A5039772130","display_name":"Amir Latifi Bidarouni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138578","display_name":"Fraunhofer Institute for Digital Media Technology","ror":"https://ror.org/04gp0yb49","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210138578","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Amir Latifi Bidarouni","raw_affiliation_strings":["Fraunhofer IDMT,Semantic Music Technologies,Ilmenau,Germany","Semantic Music Technologies, Fraunhofer IDMT, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IDMT,Semantic Music Technologies,Ilmenau,Germany","institution_ids":["https://openalex.org/I4210138578"]},{"raw_affiliation_string":"Semantic Music Technologies, Fraunhofer IDMT, Ilmenau, Germany","institution_ids":["https://openalex.org/I4210138578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047532715","display_name":"Jakob Abe\u00dfer","orcid":"https://orcid.org/0000-0003-4689-7944"},"institutions":[{"id":"https://openalex.org/I4210138578","display_name":"Fraunhofer Institute for Digital Media Technology","ror":"https://ror.org/04gp0yb49","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210138578","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jakob Abe\u00dfer","raw_affiliation_strings":["Fraunhofer IDMT,Semantic Music Technologies,Ilmenau,Germany","Semantic Music Technologies, Fraunhofer IDMT, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IDMT,Semantic Music Technologies,Ilmenau,Germany","institution_ids":["https://openalex.org/I4210138578"]},{"raw_affiliation_string":"Semantic Music Technologies, Fraunhofer IDMT, Ilmenau, Germany","institution_ids":["https://openalex.org/I4210138578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16005723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9915","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9961000084877014,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9961000084877014,"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/T11309","display_name":"Music and Audio Processing","score":0.9922000169754028,"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":0.9883000254631042,"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/normalization","display_name":"Normalization (sociology)","score":0.9082597494125366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7650954723358154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6865740418434143},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6497400999069214},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5238007307052612},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4608153700828552},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4244716465473175},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4197996258735657},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.41579437255859375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16425928473472595},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.06323778629302979}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.9082597494125366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7650954723358154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6865740418434143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6497400999069214},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5238007307052612},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4608153700828552},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4244716465473175},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4197996258735657},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.41579437255859375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16425928473472595},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.06323778629302979},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ieeeconf59510.2023.10335455","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59510.2023.10335455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Symposium on the Internet of Sounds","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/459423","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/459423","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1982696459","https://openalex.org/W2165698076","https://openalex.org/W2395579298","https://openalex.org/W2756073160","https://openalex.org/W2786808285","https://openalex.org/W2963275094","https://openalex.org/W2964288524","https://openalex.org/W2965954137","https://openalex.org/W2979509742","https://openalex.org/W2984000344","https://openalex.org/W3035294798","https://openalex.org/W3041133507","https://openalex.org/W3094548839","https://openalex.org/W3114232785","https://openalex.org/W3117322776","https://openalex.org/W3187026598","https://openalex.org/W4283693214","https://openalex.org/W6720111944"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W4294432981","https://openalex.org/W4321441197","https://openalex.org/W2953716828","https://openalex.org/W2469820710","https://openalex.org/W2152642030"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1],"is":[2,85,99,115],"a":[3,42,64,91,116,135],"fundamental":[4],"technique":[5],"to":[6,95,125,129],"ensure":[7],"that":[8,78],"deep":[9],"neural":[10],"networks":[11],"perform":[12],"robustly":[13],"even":[14,140],"in":[15,134,146],"unknown":[16],"target":[17],"domains.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22,47,109],"study":[23,66],"Z-Score":[24],"normalization,":[25],"relaxed":[26],"instance":[27],"frequency-wise":[28],"normalization":[29,69,81,144],"(RFN),":[30],"and":[31,54,71,132,139],"feature":[32],"projection-based":[33],"DA":[34],"(FPDA)":[35],"for":[36,87,101],"unsupervised":[37],"feature-based":[38],"domain":[39],"adaptation.":[40],"With":[41],"focus":[43],"on":[44,63],"acoustic":[45,55,102,148],"monitoring,":[46],"investigate":[48],"the":[49,58,111,119,147],"classification":[50,93,150],"of":[51,67,118],"individual":[52,80,96],"sounds":[53],"scenes":[56],"as":[57],"main":[59,107],"use":[60],"cases.":[61],"Based":[62],"systematic":[65],"different":[68],"techniques":[70],"data":[72,97],"partitioning":[73],"strategies,":[74],"our":[75],"results":[76,133],"confirm":[77],"an":[79],"per":[82],"frequency":[83],"band":[84],"beneficial":[86,100],"sound":[88],"classification,":[89],"whereas":[90],"global":[92],"applied":[94,127],"instances":[98],"scene":[103,149],"classification.":[104],"As":[105],"another":[106],"contribution,":[108],"propose":[110],"IFPDA":[112],"method,":[113],"essentially,":[114],"variation":[117],"original":[120],"FPDA":[121],"configuration,":[122],"allowing":[123],"it":[124],"be":[126],"independently":[128],"each":[130],"instance,":[131],"substantial":[136],"performance":[137],"improvement":[138],"outperforms":[141],"all":[142],"other":[143],"methods":[145],"task.":[151]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
