{"id":"https://openalex.org/W3082172187","doi":"https://doi.org/10.1109/fuzz48607.2020.9177532","title":"Acoustic Event Detection Using Fuzzy Integral Ensemble and Oriented Fuzzy Local Binary Pattern Encoded CNN","display_name":"Acoustic Event Detection Using Fuzzy Integral Ensemble and Oriented Fuzzy Local Binary Pattern Encoded CNN","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082172187","doi":"https://doi.org/10.1109/fuzz48607.2020.9177532","mag":"3082172187"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5005713107","display_name":"Achyut Mani Tripathi","orcid":"https://orcid.org/0000-0003-0548-9688"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Achyut Mani Tripathi","raw_affiliation_strings":["Department of Computer Science & Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076245454","display_name":"Rashmi Dutta Baruah","orcid":"https://orcid.org/0000-0002-6756-8157"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rashmi Dutta Baruah","raw_affiliation_strings":["Department of Computer Science & Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005713107"],"corresponding_institution_ids":["https://openalex.org/I1317621060"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09703752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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":0.9896000027656555,"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/spectrogram","display_name":"Spectrogram","score":0.912887692451477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7329313158988953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7243137955665588},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6713700294494629},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6684225797653198},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6153485774993896},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5473806858062744},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5273258090019226},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5073761343955994},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.4330849349498749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40153631567955017},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3111676275730133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1760009229183197},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.10131105780601501}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.912887692451477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7329313158988953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7243137955665588},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6713700294494629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684225797653198},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6153485774993896},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5473806858062744},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5273258090019226},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5073761343955994},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.4330849349498749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40153631567955017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3111676275730133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1760009229183197},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.10131105780601501},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz48607.2020.9177532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1501987291","https://openalex.org/W1545641654","https://openalex.org/W1559922967","https://openalex.org/W1968972856","https://openalex.org/W1978734360","https://openalex.org/W2020660155","https://openalex.org/W2045870530","https://openalex.org/W2052666245","https://openalex.org/W2074764925","https://openalex.org/W2089782020","https://openalex.org/W2098654823","https://openalex.org/W2103279261","https://openalex.org/W2115447976","https://openalex.org/W2130844249","https://openalex.org/W2155806188","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2173238699","https://openalex.org/W2251198138","https://openalex.org/W2312101546","https://openalex.org/W2342547278","https://openalex.org/W2407005679","https://openalex.org/W2515691792","https://openalex.org/W2578997741","https://openalex.org/W2593116425","https://openalex.org/W2617002574","https://openalex.org/W2734691436","https://openalex.org/W2745357708","https://openalex.org/W2745969942","https://openalex.org/W2747592223","https://openalex.org/W2768188490","https://openalex.org/W2943413028","https://openalex.org/W2962910554","https://openalex.org/W2963158330","https://openalex.org/W2963543871","https://openalex.org/W2964328535","https://openalex.org/W2980076572","https://openalex.org/W6632636493","https://openalex.org/W6633383461","https://openalex.org/W6684191040","https://openalex.org/W6704490260","https://openalex.org/W6745930336"],"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/W1502557346","https://openalex.org/W4383117988"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4,63],"a":[5,38,89,116],"novel":[6],"ensemble":[7,108],"classifier":[8],"using":[9,37],"an":[10],"Oriented":[11,65],"Fuzzy":[12,66,117],"Local":[13,67],"Binary":[14,68],"Pattern":[15,69],"Encoded":[16],"Convolutional":[17],"Neural":[18],"Network":[19],"(CNN)":[20],"for":[21],"acoustic":[22,34,43],"event":[23,35],"detection":[24,36],"(AED).":[25],"The":[26,45,92,107,120],"CNN":[27,49,112],"has":[28],"been":[29],"widely":[30],"used":[31,57],"to":[32,98,129,133],"perform":[33],"spectrogram":[39,55,78,105],"image":[40,79],"of":[41,47,53,109],"the":[42,48,54,59,64,77,104,110,125,135],"signals.":[44],"efficiency":[46],"depends":[50],"on":[51],"representation":[52],"images":[56],"during":[58],"training":[60],"process.":[61],"We":[62],"(OFLBP)":[70],"that":[71],"extracts":[72],"directional":[73],"texture":[74],"features":[75],"from":[76,88],"by":[80,115],"inspecting":[81],"neighborhood":[82],"pixels":[83],"present":[84,102],"at":[85],"different":[86],"angles":[87],"central":[90],"pixel.":[91],"proposed":[93,126],"OFLBP":[94],"technique":[95],"is":[96,113],"capable":[97],"deal":[99],"with":[100],"uncertainty":[101],"in":[103],"image.":[106],"trained":[111],"performed":[114],"Integral":[118],"method.":[119],"experiment":[121],"and":[122],"results":[123],"show":[124],"method":[127],"outperforms":[128],"existing":[130],"AED":[131],"methods":[132],"classify":[134],"ESC-50":[136],"dataset.":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}