乐胖代购免代理版

{"id":"https://openalex.org/W3114327266","doi":"https://doi.org/10.23919/eusipco47968.2020.9287621","title":"CNN-based Note Onset Detection using Synthetic Data Augmentation","display_name":"CNN-based Note Onset Detection using Synthetic Data Augmentation","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3114327266","doi":"https://doi.org/10.23919/eusipco47968.2020.9287621","mag":"3114327266"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287621","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_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/bitstream/123456789/657738/2/CNN_NOD_Aug_EUSIPCO20.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013137492","display_name":"Mina Mounir","orcid":"https://orcid.org/0000-0002-6407-7125"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Mina Mounir","raw_affiliation_strings":["(ESAT-STADIUS) KU Leuven, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"(ESAT-STADIUS) KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031057978","display_name":"Peter Karsmakers","orcid":"https://orcid.org/0000-0001-8119-6823"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Peter Karsmakers","raw_affiliation_strings":["(DTAI-ADVISE) KU Leuven, Geel campus, Belgium"],"affiliations":[{"raw_affiliation_string":"(DTAI-ADVISE) KU Leuven, Geel campus, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073284331","display_name":"Toon van Waterschoot","orcid":"https://orcid.org/0000-0002-6323-7350"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Toon van Waterschoot","raw_affiliation_strings":["(ESAT-STADIUS) KU Leuven, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"(ESAT-STADIUS) KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.124,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.369755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":69,"max":73},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9999,"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":0.9999,"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":0.997,"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"}},{"id":"https://openalex.org/T10788","display_name":"Neuroscience and Music Perception","score":0.9816,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.554772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78711545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6383405},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.61486405},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.554772},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.520041},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47019538},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40005678},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38022572},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3766845},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32937616}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287621","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_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/657738","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/657738/2/CNN_NOD_Aug_EUSIPCO20.pdf","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":["KU Leuven"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/657738","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/657738/2/CNN_NOD_Aug_EUSIPCO20.pdf","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":["KU Leuven"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320322308","funder_display_name":"KU Leuven","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W175070741","https://openalex.org/W2042390666","https://openalex.org/W2050201048","https://openalex.org/W2110007838","https://openalex.org/W23548463","https://openalex.org/W2566755135","https://openalex.org/W2964121744","https://openalex.org/W2998266965","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4380994516","https://openalex.org/W2625833328","https://openalex.org/W2556260348","https://openalex.org/W2392921965","https://openalex.org/W2377979023","https://openalex.org/W2361861616","https://openalex.org/W2358755282","https://openalex.org/W2263699433","https://openalex.org/W2218034408","https://openalex.org/W1533177136"],"abstract_inverted_index":{"Detecting":[0],"the":[1,26,40,57,63,72,95,108,115,158,167],"onset":[2,28],"of":[3,44,56,65,100],"notes":[4],"in":[5,12,85,107,135,176],"music":[6,14,67,96],"excerpts":[7,68,97],"is":[8,39,69,133],"a":[9,33,36,126,140,146,161,172],"fundamental":[10],"problem":[11,31],"many":[13],"signal":[15],"processing":[16],"tasks,":[17],"including":[18],"analysis,":[19],"synthesis,":[20],"and":[21,42,52,71,75,164],"information":[22],"retrieval.":[23],"When":[24],"addressing":[25],"note":[27,102,119],"detection":[29],"(NOD)":[30],"using":[32,125],"data-driven":[34],"methodology,":[35],"major":[37],"challenge":[38],"availability":[41],"quality":[43,76],"labeled":[45],"datasets":[46,59,93],"used":[47,134],"for":[48,138],"both":[49,83],"model":[50,154],"training/tuning":[51],"evaluation.":[53],"As":[54],"most":[55],"available":[58],"are":[60,98,121],"manually":[61],"annotated,":[62],"amount":[64],"annotated":[66],"limited":[70],"annotation":[73],"strategy":[74],"varies":[77],"across":[78],"data":[79],"sets.":[80],"To":[81],"counter":[82],"problems,":[84],"this":[86,136],"paper":[87],"we":[88],"propose":[89],"to":[90,123],"use":[91],"semi-synthetic":[92,131,162],"where":[94],"mixes":[99],"isolated":[101,118],"recordings.":[103],"The":[104],"advantage":[105],"resides":[106],"annotations":[109],"being":[110],"automatically":[111],"generated":[112],"while":[113],"mixing":[114],"notes,":[116],"as":[117],"onsets":[120],"straightforward":[122],"detect":[124],"simple":[127],"energy":[128],"measure.":[129],"A":[130],"dataset":[132,143,163,174],"work":[137],"augmenting":[139],"real":[141,173],"piano":[142],"when":[144],"training":[145,155],"convolutional":[147],"Neural":[148],"Network":[149],"(CNN)":[150],"with":[151,190],"three":[152],"novel":[153],"strategies.":[156],"Training":[157],"CNN":[159,168],"on":[160,171],"retraining":[165],"only":[166],"classification":[169],"layers":[170],"results":[175],"higher":[177],"average":[178],"F":[179],"1":[182,187],"-score":[183],"(F":[184],")":[188],"scores":[189],"lower":[191],"variance.":[192]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3114327266","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-01-21T06:04:51.691822","created_date":"2021-01-05"}