{"id":"https://openalex.org/W3158121778","doi":"https://doi.org/10.1109/icpr48806.2021.9412573","title":"Which are the factors affecting the performance of audio surveillance systems?","display_name":"Which are the factors affecting the performance of audio surveillance systems?","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3158121778","doi":"https://doi.org/10.1109/icpr48806.2021.9412573","mag":"3158121778"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5071216669","display_name":"Antonio Greco","orcid":"https://orcid.org/0000-0002-5495-2432"},"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":true,"raw_author_name":"Antonio Greco","raw_affiliation_strings":["University of Salerno,Dept. of Information Eng., Electrical Eng. and Applied Mathematics,Italy"],"affiliations":[{"raw_affiliation_string":"University of Salerno,Dept. of Information Eng., Electrical Eng. and Applied Mathematics,Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084532664","display_name":"Antonio Roberto","orcid":"https://orcid.org/0000-0002-3220-1152"},"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":"Antonio Roberto","raw_affiliation_strings":["University of Salerno,Dept. of Information Eng., Electrical Eng. and Applied Mathematics,Italy"],"affiliations":[{"raw_affiliation_string":"University of Salerno,Dept. of Information Eng., Electrical Eng. and Applied Mathematics,Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","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,Dept. of Information Eng., Electrical Eng. and Applied Mathematics,Italy"],"affiliations":[{"raw_affiliation_string":"University of Salerno,Dept. of Information Eng., Electrical Eng. and Applied Mathematics,Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","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,Dept. of Information Eng., Electrical Eng. and Applied Mathematics,Italy"],"affiliations":[{"raw_affiliation_string":"University of Salerno,Dept. of Information Eng., Electrical Eng. and Applied Mathematics,Italy","institution_ids":["https://openalex.org/I131729948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071216669"],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":null,"apc_paid":null,"fwci":0.3047,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51636241,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9761999845504761,"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/computer-science","display_name":"Computer science","score":0.8237811326980591},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7116385698318481},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6795295476913452},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6257655620574951},{"id":"https://openalex.org/keywords/audio-analyzer","display_name":"Audio analyzer","score":0.558256208896637},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5227801203727722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4807845950126648},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4510745406150818},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3807126581668854},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.3734742999076843},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.2855256199836731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8237811326980591},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7116385698318481},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6795295476913452},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6257655620574951},{"id":"https://openalex.org/C160372630","wikidata":"https://www.wikidata.org/wiki/Q4819855","display_name":"Audio analyzer","level":5,"score":0.558256208896637},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5227801203727722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4807845950126648},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4510745406150818},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3807126581668854},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.3734742999076843},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.2855256199836731},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W132822091","https://openalex.org/W821549425","https://openalex.org/W1501987291","https://openalex.org/W1686810756","https://openalex.org/W1844944916","https://openalex.org/W1967577726","https://openalex.org/W2092216166","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2292996718","https://openalex.org/W2317919972","https://openalex.org/W2531409750","https://openalex.org/W2746631197","https://openalex.org/W2793022090","https://openalex.org/W2916994700","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2964052309","https://openalex.org/W2971552619","https://openalex.org/W2990614474","https://openalex.org/W3007045810","https://openalex.org/W3024840775","https://openalex.org/W4298168912","https://openalex.org/W6605412562","https://openalex.org/W6728184133"],"related_works":["https://openalex.org/W2098934641","https://openalex.org/W2494533082","https://openalex.org/W3135871143","https://openalex.org/W4382560817","https://openalex.org/W2347715673","https://openalex.org/W2405875744","https://openalex.org/W2020966186","https://openalex.org/W296599067","https://openalex.org/W4387698063","https://openalex.org/W27741130"],"abstract_inverted_index":{"Sound":[0],"event":[1,113,188],"recognition":[2,114,142,189],"systems":[3],"are":[4],"rapidly":[5],"becoming":[6],"part":[7,42],"of":[8,43,57,82,135,146,186],"our":[9],"life,":[10],"since":[11],"they":[12],"can":[13],"be":[14],"profitably":[15],"used":[16,85],"in":[17,32,66,127,165],"several":[18],"vertical":[19],"markets,":[20],"ranging":[21],"from":[22,150],"audio":[23,59,128],"security":[24],"applications":[25],"to":[26,48,54,62,177],"scene":[27],"classification":[28],"and":[29,88,161,175],"multi-modal":[30],"analysis":[31,102,171],"social":[33],"robotics.":[34],"In":[35,73,131],"the":[36,44,58,69,96,111,121,136,144,148,151,184],"last":[37],"years,":[38],"a":[39,79,92,117,140],"not":[40,155],"negligible":[41],"scientific":[45],"community":[46],"started":[47],"apply":[49],"Convolutional":[50],"Neural":[51],"Networks":[52],"(CNNs)":[53],"image-based":[55],"representations":[56,90],"stream,":[60],"due":[61],"their":[63],"successful":[64],"adoption":[65],"almost":[67],"all":[68],"computer":[70],"vision":[71],"tasks.":[72],"this":[74,173],"paper,":[75],"we":[76],"carry":[77],"out":[78],"detailed":[80],"benchmark":[81],"various":[83],"widely":[84],"CNN":[86],"architectures":[87],"visual":[89],"on":[91,120],"popular":[93],"dataset,":[94],"namely":[95],"MIVIA":[97],"Audio":[98],"Events":[99],"database.":[100],"Our":[101,168],"is":[103,153],"aimed":[104],"at":[105],"understanding":[106],"how":[107],"these":[108],"factors":[109],"affect":[110],"sound":[112,187],"performance":[115],"with":[116],"particular":[118],"focus":[119],"false":[122],"positive":[123],"rate,":[124,143],"very":[125],"relevant":[126],"surveillance":[129],"solutions.":[130],"fact,":[132],"although":[133],"most":[134],"proposed":[137],"solutions":[138],"achieve":[139],"high":[141],"capability":[145],"distinguishing":[147],"events-of-interest":[149],"background":[152],"often":[154],"yet":[156],"sufficient":[157],"for":[158,182],"real":[159,166],"systems,":[160],"prevent":[162],"its":[163],"usage":[164],"applications.":[167],"comprehensive":[169],"experimental":[170],"investigates":[172],"aspect":[174],"allows":[176],"identify":[178],"useful":[179],"design":[180],"guidelines":[181],"increasing":[183],"specificity":[185],"systems.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
