{"id":"https://openalex.org/W2150360986","doi":"https://doi.org/10.1109/icassp.2009.4959549","title":"Sound event classification based on Feature Integration, Recursive Feature Elimination and Structured Classification","display_name":"Sound event classification based on Feature Integration, Recursive Feature Elimination and Structured Classification","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2150360986","doi":"https://doi.org/10.1109/icassp.2009.4959549","mag":"2150360986"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5091485423","display_name":"Huy Dat Tran","orcid":"https://orcid.org/0000-0003-0223-6140"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Huy Dat Tran","raw_affiliation_strings":["Institute of Infocomm Research, Agency for Science, Technology and Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute of Infocomm Research, Agency for Science, Technology and Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032690182","display_name":"Haizhou Li","orcid":"https://orcid.org/0000-0001-9158-9401"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haizhou Li","raw_affiliation_strings":["Institute of Infocomm Research, Agency for Science, Technology and Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute of Infocomm Research, Agency for Science, Technology and Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091485423"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":2.1148,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87660668,"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":"177","last_page":"180"},"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":0.9988999962806702,"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":0.9843999743461609,"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/feature-selection","display_name":"Feature selection","score":0.7048744559288025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6787781119346619},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.6777871251106262},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6398845911026001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6351150274276733},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6161807775497437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5488532185554504},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.46142274141311646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44494324922561646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33740392327308655}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7048744559288025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6787781119346619},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6777871251106262},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6398845911026001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6351150274276733},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6161807775497437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5488532185554504},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.46142274141311646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44494324922561646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33740392327308655},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4959549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1547083988","https://openalex.org/W1822987211","https://openalex.org/W1863372652","https://openalex.org/W2091425152","https://openalex.org/W2111331420","https://openalex.org/W2143426320","https://openalex.org/W3134246028","https://openalex.org/W3215500402","https://openalex.org/W6632910081"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W4402568167","https://openalex.org/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W3127543252","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,73,144],"novel":[4],"system":[5],"for":[6,131,148],"sound":[7],"event":[8],"classification":[9,77,146,174],"based":[10],"on":[11,134],"Feature":[12,15],"Integration,":[13],"Recursive":[14],"Elimination":[16],"Support":[17],"Vector":[18],"Machine":[19],"(RFESVM)":[20],"and":[21,60,94,153,165],"Structured":[22],"Classification.":[23],"The":[24,139,156],"key":[25],"points":[26],"of":[27,39,55,65,72,82,137,172],"the":[28,37,53,62,66,70,104,107,114,135,166,173,178],"proposed":[29,157],"method":[30,110,158],"can":[31],"be":[32],"summarized":[33],"as":[34],"follows:":[35],"1)":[36],"integration":[38],"various":[40],"feature":[41,56,96,105,116,128],"extraction":[42],"methods":[43],"coming":[44],"from":[45],"different":[46,127],"research":[47],"communities":[48],"in":[49,100,151,161],"one":[50],"system;":[51],"2)":[52],"use":[54],"selection":[57],"to":[58,112,177],"analyze":[59],"select":[61,113],"optimal":[63,115],"subset":[64,117],"integrated":[67],"features;":[68],"3)":[69],"adoption":[71],"knowledge-based":[74],"taxonomic":[75],"structured":[76,145],"scheme.":[78],"Particularly,":[79],"six":[80],"groups":[81],"features":[83],"including":[84],"temporal":[85],"shape,":[86,88],"spectral":[87],"spectrogram,":[89],"perceptual":[90],"cepstral":[91],"coefficients,":[92],"harmonic":[93],"rhythmic":[95],"sets":[97],"are":[98],"investigated":[99],"this":[101],"paper.":[102],"For":[103],"selection,":[106],"employed":[108],"RFESVM":[109,132,140],"enables":[111],"taking":[118],"into":[119],"account":[120],"their":[121],"mutual":[122],"information.":[123],"We":[124],"further":[125],"develop":[126],"elimination":[129],"strategies":[130],"depending":[133],"requirements":[136],"complexity.":[138],"is":[141,159],"combined":[142],"with":[143],"designed":[147],"our":[149],"task":[150],"surveillance":[152],"security":[154],"applications.":[155],"tested":[160],"two":[162],"realistic":[163],"environments":[164],"experimental":[167],"results":[168],"show":[169],"good":[170],"improvements":[171],"performance":[175],"compared":[176],"conventional":[179],"method.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}