{"id":"https://openalex.org/W2556437173","doi":"https://doi.org/10.1109/avss.2016.7738082","title":"Time-frequency analysis for audio event detection in real scenarios","display_name":"Time-frequency analysis for audio event detection in real scenarios","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2556437173","doi":"https://doi.org/10.1109/avss.2016.7738082","mag":"2556437173"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2016.7738082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2016.7738082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.rug.nl/en/publications/f3e7885b-df88-4816-a61a-ed11776d09f4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083939361","display_name":"Alessia Saggese","orcid":"https://orcid.org/0000-0003-4687-7994"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessia Saggese","raw_affiliation_strings":["University of Salerno-DIEM, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salerno-DIEM, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067565879","display_name":"Nicola Strisciuglio","orcid":"https://orcid.org/0000-0002-7478-3509"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]},{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["IT","NL"],"is_corresponding":false,"raw_author_name":"Nicola Strisciuglio","raw_affiliation_strings":["University of Groningen-JBI, Netherlands","University of Salerno-DIEM, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Groningen-JBI, Netherlands","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"University of Salerno-DIEM, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027593663","display_name":"Mario Vento","orcid":"https://orcid.org/0000-0002-2948-741X"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario Vento","raw_affiliation_strings":["University of Salerno-DIEM, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salerno-DIEM, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065962800","display_name":"Nicolai Petkov","orcid":"https://orcid.org/0000-0003-2163-8647"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nicolai Petkov","raw_affiliation_strings":["University of Groningen-JBI, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Groningen-JBI, Netherlands","institution_ids":["https://openalex.org/I169381384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2507,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.8923049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"438","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music 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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music 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/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.814185619354248},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.5966390371322632},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5366837978363037},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5212358236312866},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5114907026290894},{"id":"https://openalex.org/keywords/audio-analyzer","display_name":"Audio analyzer","score":0.48098623752593994},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4523497521877289},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4441484808921814},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.4433125853538513},{"id":"https://openalex.org/keywords/sound-analysis","display_name":"Sound analysis","score":0.42762291431427},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.42760980129241943},{"id":"https://openalex.org/keywords/sound-recording-and-reproduction","display_name":"Sound recording and reproduction","score":0.41086500883102417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3992810845375061},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3345673680305481},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.226241797208786},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08268359303474426},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08190402388572693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07868596911430359}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.814185619354248},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.5966390371322632},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5366837978363037},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5212358236312866},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5114907026290894},{"id":"https://openalex.org/C160372630","wikidata":"https://www.wikidata.org/wiki/Q4819855","display_name":"Audio analyzer","level":5,"score":0.48098623752593994},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4523497521877289},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4441484808921814},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.4433125853538513},{"id":"https://openalex.org/C2984030306","wikidata":"https://www.wikidata.org/wiki/Q4819857","display_name":"Sound analysis","level":2,"score":0.42762291431427},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.42760980129241943},{"id":"https://openalex.org/C128422554","wikidata":"https://www.wikidata.org/wiki/Q20077126","display_name":"Sound recording and reproduction","level":2,"score":0.41086500883102417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3992810845375061},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3345673680305481},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.226241797208786},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08268359303474426},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08190402388572693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07868596911430359},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/avss.2016.7738082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2016.7738082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.rug.nl:openaire/f3e7885b-df88-4816-a61a-ed11776d09f4","is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/f3e7885b-df88-4816-a61a-ed11776d09f4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Saggese, A, Strisciuglio, N, Vento, M & Petkov, N 2016, Time-frequency analysis for audio event detection in real scenarios. in 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016., 7738082, Institute of Electrical and Electronics Engineers Inc., pp. 438-443, 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016, Colorado Springs, United States, 23/08/2016. https://doi.org/10.1109/AVSS.2016.7738082","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.rug.nl:publications/f3e7885b-df88-4816-a61a-ed11776d09f4","is_oa":true,"landing_page_url":"https://hdl.handle.net/11370/f3e7885b-df88-4816-a61a-ed11776d09f4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Saggese, A, Strisciuglio, N, Vento, M & Petkov, N 2016, Time-frequency analysis for audio event detection in real scenarios. in 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016., 7738082, Institute of Electrical and Electronics Engineers Inc., pp. 438-443, 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016, Colorado Springs, United States, 23/08/2016. https://doi.org/10.1109/AVSS.2016.7738082","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:pure.rug.nl:openaire/f3e7885b-df88-4816-a61a-ed11776d09f4","is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/f3e7885b-df88-4816-a61a-ed11776d09f4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Saggese, A, Strisciuglio, N, Vento, M & Petkov, N 2016, Time-frequency analysis for audio event detection in real scenarios. in 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016., 7738082, Institute of Electrical and Electronics Engineers Inc., pp. 438-443, 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016, Colorado Springs, United States, 23/08/2016. https://doi.org/10.1109/AVSS.2016.7738082","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W5438179","https://openalex.org/W64644853","https://openalex.org/W821549425","https://openalex.org/W1489184006","https://openalex.org/W1844944916","https://openalex.org/W2009150118","https://openalex.org/W2045871908","https://openalex.org/W2074989593","https://openalex.org/W2097450352","https://openalex.org/W2108287924","https://openalex.org/W2116988482","https://openalex.org/W2117684846","https://openalex.org/W2118230268","https://openalex.org/W2121562595","https://openalex.org/W2135131618","https://openalex.org/W2140647972","https://openalex.org/W2151316819","https://openalex.org/W2170068989","https://openalex.org/W2170355566","https://openalex.org/W2221333906","https://openalex.org/W2285774199","https://openalex.org/W2292996718","https://openalex.org/W4251033893","https://openalex.org/W6600220327","https://openalex.org/W6682352165"],"related_works":["https://openalex.org/W2098934641","https://openalex.org/W2088690926","https://openalex.org/W1590604789","https://openalex.org/W2494533082","https://openalex.org/W1975359510","https://openalex.org/W4214771044","https://openalex.org/W4387698063","https://openalex.org/W4382560817","https://openalex.org/W3004352674","https://openalex.org/W2155527258"],"abstract_inverted_index":{"We":[0,105,126],"propose":[1,19],"a":[2,39,55,65,78,83],"sound":[3,40],"analysis":[4,24],"system":[5,136],"for":[6,74,99],"the":[7,29,32,62,69,75,100,107,120,128,131,134],"detection":[8],"of":[9,31,43,50,54,58,71,77,103,109,112,133],"audio":[10,46,72,95,122],"events":[11],"in":[12,25,64,141,153],"surveillance":[13],"applications.":[14,155],"The":[15,34],"method":[16],"that":[17,38,81],"we":[18,67],"combines":[20],"short-":[21],"and":[22,48,130],"long-time":[23],"order":[26],"to":[27,61,92,146],"increase":[28],"reliability":[30],"detection.":[33],"basic":[35],"idea":[36],"is":[37,41,89,139],"composed":[42],"small,":[44],"atomic":[45],"units":[47,73,96],"some":[49],"them":[51],"are":[52,97],"distinctive":[53,98],"particular":[56],"class":[57],"sounds.":[59],"Similarly":[60],"words":[63],"text,":[66],"count":[68],"occurrence":[70],"construction":[76],"feature":[79],"vector":[80],"describes":[82],"given":[84],"time":[85],"interval.":[86],"A":[87],"classifier":[88],"then":[90],"used":[91,152],"learn":[93],"which":[94],"different":[101,110],"classes":[102],"sound.":[104],"compare":[106],"performance":[108,129],"sets":[111],"short-time":[113],"features":[114],"by":[115],"carrying":[116],"out":[117],"experiments":[118],"on":[119],"MIVIA":[121],"event":[123],"data":[124],"set.":[125],"study":[127],"stability":[132],"proposed":[135],"when":[137,151],"it":[138],"employed":[140],"live":[142],"scenarios,":[143],"so":[144],"as":[145],"characterize":[147],"its":[148],"expected":[149],"behavior":[150],"real":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
