{"id":"https://openalex.org/W2791535566","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302127","title":"Home security surveillance based on acoustic scenes analysis","display_name":"Home security surveillance based on acoustic scenes analysis","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2791535566","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302127","mag":"2791535566"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5040802509","display_name":"Aiwu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I24407930","display_name":"Hunan University of Science and Engineering","ror":"https://ror.org/04ymz0q33","country_code":"CN","type":"education","lineage":["https://openalex.org/I24407930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aiwu Chen","raw_affiliation_strings":["School of Electrical and Information Engineering South China University of Technology, Guangzhou, China","School of Electronics and Information Engineering Hunan University of Science and Engineering, Yongzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Electronics and Information Engineering Hunan University of Science and Engineering, Yongzhou, China","institution_ids":["https://openalex.org/I24407930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102706072","display_name":"Qianhua He","orcid":"https://orcid.org/0000-0002-9079-4566"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianhua He","raw_affiliation_strings":["School of Electrical and Information Engineering South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727937","display_name":"Xing Wang","orcid":"https://orcid.org/0009-0006-5054-5684"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Wang","raw_affiliation_strings":["School of Electrical and Information Engineering South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070863631","display_name":"Yanxiong Li","orcid":"https://orcid.org/0000-0003-4362-1125"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxiong Li","raw_affiliation_strings":["School of Electrical and Information Engineering South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040802509"],"corresponding_institution_ids":["https://openalex.org/I24407930","https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.22176223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9987000226974487,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/computer-science","display_name":"Computer science","score":0.8203119039535522},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7657995223999023},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5390142798423767},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.529045045375824},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48830223083496094},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4552222490310669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43840736150741577},{"id":"https://openalex.org/keywords/audio-analyzer","display_name":"Audio analyzer","score":0.4244574308395386},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.422538161277771},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.38642966747283936},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32662540674209595},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.14664164185523987}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8203119039535522},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7657995223999023},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5390142798423767},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.529045045375824},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48830223083496094},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4552222490310669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43840736150741577},{"id":"https://openalex.org/C160372630","wikidata":"https://www.wikidata.org/wiki/Q4819855","display_name":"Audio analyzer","level":5,"score":0.4244574308395386},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.422538161277771},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.38642966747283936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32662540674209595},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.14664164185523987},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W821549425","https://openalex.org/W1844944916","https://openalex.org/W1985744814","https://openalex.org/W2058189943","https://openalex.org/W2065529590","https://openalex.org/W2065869176","https://openalex.org/W2094240301","https://openalex.org/W2095147901","https://openalex.org/W2103235956","https://openalex.org/W2109016456","https://openalex.org/W2111427798","https://openalex.org/W2126109423","https://openalex.org/W2140745013","https://openalex.org/W2158705122","https://openalex.org/W2232894815","https://openalex.org/W2399736860","https://openalex.org/W2408491073","https://openalex.org/W2561557072","https://openalex.org/W6665314674","https://openalex.org/W6676265831"],"related_works":["https://openalex.org/W2098934641","https://openalex.org/W1975359510","https://openalex.org/W2494533082","https://openalex.org/W4214771044","https://openalex.org/W4387698063","https://openalex.org/W4382560817","https://openalex.org/W3004352674","https://openalex.org/W3110605476","https://openalex.org/W1803351015","https://openalex.org/W2363106653"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2,144,188],"witnessed":[3],"a":[4,50,55,124],"growing":[5],"interest":[6],"in":[7,66,83,106,139,178],"the":[8,16,71,80,84,87,91,96,100,116,128,136,162,165,179],"automatic":[9],"detecting":[10],"abnormal":[11,72,132,154,173],"and":[12,99,131],"dangerous":[13],"events":[14,26,175],"through":[15],"analysis":[17,65,126],"of":[18,25,86,119,127,149,164,172],"audio":[19,41,44,73,174],"streams.":[20],"Indeed,":[21],"there":[22],"are":[23,104],"kinds":[24,171],"(such":[27],"as":[28],"scream,":[29],"gaspand":[30],"cry,":[31],"et":[32],"al.)":[33],"that":[34],"can":[35],"be":[36],"effectively":[37],"detected":[38],"by":[39,122],"using":[40],"sensors":[42],"for":[43,62,79],"scene":[45,64,130,152],"analysis.":[46],"In":[47],"this":[48],"paper,":[49],"novel":[51],"method":[52,138,166],"based":[53],"on":[54],"cycle":[56],"supervised":[57],"learning":[58],"(CSL)":[59],"is":[60,75],"proposed":[61,137],"acoustic":[63,155],"home":[67,150],"security":[68,120],"monitoring.":[69],"Because":[70],"signal":[74,93],"an":[76,146],"important":[77],"clue":[78],"safety":[81],"awareness,":[82],"process":[85],"CSL":[88],"we":[89,143],"take":[90],"input":[92],"cyclically":[94],"into":[95],"trained":[97],"model":[98],"best":[101],"distinguishing":[102],"features":[103],"selected":[105],"each":[107],"surveillance":[108,121],"learning.":[109],"The":[110,185],"system":[111],"adapts":[112],"to":[113,160,169],"deal":[114],"with":[115,153,167],"specific":[117],"issues":[118],"making":[123],"joint":[125],"background":[129,151],"event.":[133],"To":[134],"test":[135],"complex,":[140],"realistic":[141],"scenarios,":[142],"built":[145],"available":[147],"dataset":[148],"events,":[156],"which":[157],"allows":[158],"us":[159],"evaluate":[161],"robustness":[163],"respect":[168],"five":[170],"occurring":[176],"frequently":[177],"older":[180],"members":[181],"or":[182],"sick":[183],"people.":[184],"experimental":[186],"results":[187],"confirmed":[189],"its":[190],"applicability":[191],"under":[192],"real":[193],"world":[194],"conditions.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}