{"id":"https://openalex.org/W2896433142","doi":"https://doi.org/10.1109/icassp.2019.8682591","title":"Training Neural Audio Classifiers with Few Data","display_name":"Training Neural Audio Classifiers with Few Data","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2896433142","doi":"https://doi.org/10.1109/icassp.2019.8682591","mag":"2896433142"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.10274","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103137809","display_name":"Jordi Pons","orcid":"https://orcid.org/0000-0001-9603-0869"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]},{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jordi Pons","raw_affiliation_strings":["Music Technology Group, Universitat Pompeu Fabra, Barcelona","Telefonica Res., Barcelona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, Barcelona","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Telefonica Res., Barcelona","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103092198","display_name":"Joan Serr\u00e0","orcid":"https://orcid.org/0000-0003-1303-6558"},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joan Serra","raw_affiliation_strings":["Telef\u00f3nica Research, Barcelona","Telefonica Res., Barcelona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telef\u00f3nica Research, Barcelona","institution_ids":["https://openalex.org/I4210134591"]},{"raw_affiliation_string":"Telefonica Res., Barcelona","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006479715","display_name":"Xavier Serra","orcid":"https://orcid.org/0000-0003-1395-2345"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Xavier Serra","raw_affiliation_strings":["Music Technology Group, Universitat Pompeu Fabra, Barcelona","Music Technol. Group, Universitat Pompeu Fabra, Barcelona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, Barcelona","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Music Technol. Group, Universitat Pompeu Fabra, Barcelona","institution_ids":["https://openalex.org/I170486558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1912,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.29901898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"20"},"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":0.9991999864578247,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9934999942779541,"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/leverage","display_name":"Leverage (statistics)","score":0.8032981157302856},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7590081691741943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7274073958396912},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.626683235168457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5850015878677368},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5795779228210449},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5637145638465881},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5503885746002197},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5404108762741089},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5009002685546875},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38607358932495117}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8032981157302856},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7590081691741943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7274073958396912},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.626683235168457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5850015878677368},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5795779228210449},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5637145638465881},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5503885746002197},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5404108762741089},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5009002685546875},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38607358932495117}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp.2019.8682591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1810.10274","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.10274","pdf_url":"https://arxiv.org/pdf/1810.10274","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2896433142","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1810.10274","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1810.10274","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1810.10274","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.10274","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.10274","pdf_url":"https://arxiv.org/pdf/1810.10274","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1994606281","https://openalex.org/W2025198378","https://openalex.org/W2038484192","https://openalex.org/W2098500169","https://openalex.org/W2107789863","https://openalex.org/W2127589108","https://openalex.org/W2509065397","https://openalex.org/W2526050071","https://openalex.org/W2561826558","https://openalex.org/W2566935005","https://openalex.org/W2593116425","https://openalex.org/W2601450892","https://openalex.org/W2604509013","https://openalex.org/W2753160622","https://openalex.org/W2770119437","https://openalex.org/W2775505379","https://openalex.org/W2786433859","https://openalex.org/W2799016299","https://openalex.org/W2801999839","https://openalex.org/W2847779386","https://openalex.org/W2884535146","https://openalex.org/W2887437386","https://openalex.org/W2914312680","https://openalex.org/W2951828005","https://openalex.org/W2962756039","https://openalex.org/W2962813390","https://openalex.org/W2962997440","https://openalex.org/W2963303951","https://openalex.org/W2963341924","https://openalex.org/W2963550089","https://openalex.org/W3098357269","https://openalex.org/W6676071220","https://openalex.org/W6717697761","https://openalex.org/W6729831399","https://openalex.org/W6735236233","https://openalex.org/W6736327223","https://openalex.org/W6743661861","https://openalex.org/W6745878906","https://openalex.org/W6746124584","https://openalex.org/W6746278845","https://openalex.org/W6747331233","https://openalex.org/W6748554845","https://openalex.org/W6751071566","https://openalex.org/W6751176024","https://openalex.org/W6752670795","https://openalex.org/W6753583920","https://openalex.org/W6754295504","https://openalex.org/W6755609884"],"related_works":["https://openalex.org/W2991719956","https://openalex.org/W2948473094","https://openalex.org/W3094411707","https://openalex.org/W2754977407","https://openalex.org/W3025821620","https://openalex.org/W3099025572","https://openalex.org/W2948139120","https://openalex.org/W2471138382","https://openalex.org/W3040253440","https://openalex.org/W2970656679","https://openalex.org/W2936772191","https://openalex.org/W2509712787","https://openalex.org/W3206707760","https://openalex.org/W3200835136","https://openalex.org/W3161622534","https://openalex.org/W2890931111","https://openalex.org/W3094454579","https://openalex.org/W3034345981","https://openalex.org/W3009344359","https://openalex.org/W3194582014"],"abstract_inverted_index":{"We":[0],"investigate":[1],"supervised":[2],"learning":[3,44,85],"strategies":[4],"that":[5,83],"improve":[6],"the":[7,28,62],"training":[8,53],"of":[9,27,52,64],"neural":[10],"network":[11],"audio":[12],"classifiers":[13],"on":[14],"small":[15,50],"annotated":[16],"collections.":[17],"In":[18],"particular,":[19],"we":[20,58],"study":[21],"whether":[22],"(i)":[23],"a":[24,49,87],"naive":[25],"regularization":[26],"solution":[29],"space,":[30],"(ii)":[31],"prototypical":[32,94],"networks,":[33],"(iii)":[34],"transfer":[35,84],"learning,":[36],"or":[37,106],"(iv)":[38],"their":[39],"combination,":[40],"can":[41],"foster":[42],"deep":[43],"models":[45],"to":[46,75],"better":[47],"leverage":[48],"amount":[51],"examples.":[54],"To":[55],"this":[56],"end,":[57],"evaluate":[59],"(i-iv)":[60],"for":[61],"tasks":[63],"acoustic":[65,69],"event":[66],"recognition":[67],"and":[68],"scene":[70],"classification,":[71],"considering":[72],"from":[73],"1":[74],"100":[76],"labeled":[77],"examples":[78],"per":[79],"class.":[80],"Results":[81],"indicate":[82],"is":[86],"powerful":[88],"strategy":[89],"in":[90],"such":[91],"scenarios,":[92],"but":[93],"networks":[95],"show":[96],"promising":[97],"results":[98],"when":[99],"one":[100],"does":[101],"not":[102],"count":[103],"with":[104],"external":[105],"validation":[107],"data.":[108]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}