{"id":"https://openalex.org/W2772293448","doi":"https://doi.org/10.1109/mmsp.2017.8122258","title":"A study on transfer learning for acoustic event detection in a real life scenario","display_name":"A study on transfer learning for acoustic event detection in a real life scenario","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2772293448","doi":"https://doi.org/10.1109/mmsp.2017.8122258","mag":"2772293448"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2017.8122258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2017.8122258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)","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/A5101620822","display_name":"Prerna Arora","orcid":"https://orcid.org/0000-0003-0094-4987"},"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":"Prerna Arora","raw_affiliation_strings":["Department of Communications Engineering, Paderborn University, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, Paderborn University, 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, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, Paderborn University, Germany","institution_ids":["https://openalex.org/I206945453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101620822"],"corresponding_institution_ids":["https://openalex.org/I206945453"],"apc_list":null,"apc_paid":null,"fwci":1.8492,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.87283516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9987000226974487,"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":0.9817000031471252,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.6820072531700134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6696579456329346},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5773108005523682},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.48334118723869324},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3337304890155792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30923351645469666},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07813772559165955}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6820072531700134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6696579456329346},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5773108005523682},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.48334118723869324},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3337304890155792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30923351645469666},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07813772559165955},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2017.8122258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2017.8122258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.4699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313660","display_name":"Association for Applied Sport Psychology","ror":null},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1498219407","https://openalex.org/W1522301498","https://openalex.org/W1530136128","https://openalex.org/W1643320849","https://openalex.org/W1974387177","https://openalex.org/W2009504845","https://openalex.org/W2021228422","https://openalex.org/W2024490156","https://openalex.org/W2025198378","https://openalex.org/W2038484192","https://openalex.org/W2052623686","https://openalex.org/W2052666245","https://openalex.org/W2097117768","https://openalex.org/W2103519186","https://openalex.org/W2105068979","https://openalex.org/W2118230268","https://openalex.org/W2120209245","https://openalex.org/W2156940638","https://openalex.org/W2161381512","https://openalex.org/W2163605009","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2229530802","https://openalex.org/W2280985394","https://openalex.org/W2405569690","https://openalex.org/W2408239454","https://openalex.org/W2566935005","https://openalex.org/W2570915410","https://openalex.org/W2591013610","https://openalex.org/W2592563856","https://openalex.org/W2593116425","https://openalex.org/W2619932295","https://openalex.org/W2695712842","https://openalex.org/W2963522845","https://openalex.org/W2964121744","https://openalex.org/W6675872639","https://openalex.org/W6682974852","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W4297510037","https://openalex.org/W3202548321","https://openalex.org/W2941215368","https://openalex.org/W1991466308","https://openalex.org/W2765107853","https://openalex.org/W2995971828","https://openalex.org/W2807706688","https://openalex.org/W4283522607","https://openalex.org/W2991289992"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"address":[4],"the":[5,19,57,69,88,97,101,123,127,130,141,146,154,173,188],"limited":[6],"availability":[7],"of":[8,21,60,72,158],"large":[9],"annotated":[10],"databases":[11],"for":[12,86,95],"real-life":[13,155],"audio":[14],"event":[15,117],"detection":[16,168],"by":[17,121],"utilizing":[18],"concept":[20],"transfer":[22,28,104,147,163,175],"learning.":[23],"This":[24],"technique":[25],"aims":[26],"to":[27,34,109,129,153,166,176],"knowledge":[29],"from":[30,106,126,140,148,183],"a":[31,35,79,92,107,110,114,149],"source":[32,40,108,128,151,189],"domain":[33,112],"target":[36,42,111,131,142,156],"domain,":[37,190],"even":[38],"if":[39],"and":[41,47,65,91],"have":[43],"different":[44,115,182],"feature":[45],"distributions":[46],"label":[48],"sets.":[49],"We":[50,76],"hypothesize":[51],"that":[52,162],"all":[53],"acoustic":[54,62,74,89,116],"events":[55,178],"share":[56],"same":[58],"inventory":[59,118],"basic":[61],"building":[63],"blocks":[64],"differ":[66],"only":[67],"in":[68,187],"temporal":[70,98],"order":[71],"these":[73],"units.":[75],"then":[77],"construct":[78],"deep":[80],"neural":[81],"network":[82],"with":[83,113],"convolutional":[84,124],"layers":[85,125],"extracting":[87],"units":[90],"recurrent":[93,134],"layer":[94,135],"capturing":[96],"order.":[99],"Under":[100],"above":[102],"hypothesis,":[103],"learning":[105,164],"is":[119],"realized":[120],"transferring":[122],"domain.":[132,143],"The":[133],"is,":[136],"however,":[137],"learnt":[138],"directly":[139],"Experiments":[144],"on":[145,170],"synthetic":[150],"database":[152,157],"DCASE":[159],"2016":[160],"demonstrate":[161],"leads":[165],"improved":[167],"performance":[169],"average.":[171],"However,":[172],"successful":[174],"detect":[177],"which":[179],"are":[180],"very":[181],"what":[184],"was":[185],"seen":[186],"could":[191],"not":[192],"be":[193],"verified.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
