{"id":"https://openalex.org/W2186143248","doi":"https://doi.org/10.1109/sped.2015.7343106","title":"Alarming events detection based on audio signals recognition","display_name":"Alarming events detection based on audio signals recognition","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2186143248","doi":"https://doi.org/10.1109/sped.2015.7343106","mag":"2186143248"},"language":"en","primary_location":{"id":"doi:10.1109/sped.2015.7343106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sped.2015.7343106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048888763","display_name":"Gabriel Oltean","orcid":"https://orcid.org/0000-0002-3493-4034"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Gabriel Oltean","raw_affiliation_strings":["Bases of Electronics Department, Telecommunications and Information Technology Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bases of Electronics Department, Telecommunications and Information Technology Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072184884","display_name":"L\u0103crimioara Grama","orcid":"https://orcid.org/0000-0003-0383-5196"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Lacrimioara Grama","raw_affiliation_strings":["Bases of Electronics Department, Telecommunications and Information Technology Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bases of Electronics Department, Telecommunications and Information Technology Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081354732","display_name":"Laura-Nicoleta Ivanciu","orcid":"https://orcid.org/0000-0003-0723-9703"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Laura Ivanciu","raw_affiliation_strings":["Bases of Electronics Department, Telecommunications and Information Technology Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bases of Electronics Department, Telecommunications and Information Technology Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036243309","display_name":"Corneliu Rusu","orcid":"https://orcid.org/0000-0001-5209-2734"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Corneliu Rusu","raw_affiliation_strings":["Bases of Electronics Department, Telecommunications and Information Technology Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bases of Electronics Department, Telecommunications and Information Technology Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":0.7284,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67262759,"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":"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":0.9991999864578247,"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":0.9986000061035156,"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":0.7740492820739746},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.6801446080207825},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6228572726249695},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5793588161468506},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5565424561500549},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5451561212539673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4989509582519531},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4471592307090759},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4463620185852051},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4323093593120575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4289546310901642},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.42544856667518616},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32413554191589355},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10793066024780273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7740492820739746},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.6801446080207825},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6228572726249695},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5793588161468506},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5565424561500549},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5451561212539673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4989509582519531},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4471592307090759},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4463620185852051},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4323093593120575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4289546310901642},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.42544856667518616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32413554191589355},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10793066024780273},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/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/sped.2015.7343106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sped.2015.7343106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W15066456","https://openalex.org/W36433003","https://openalex.org/W1970578576","https://openalex.org/W2002016471","https://openalex.org/W2062024414","https://openalex.org/W2118230268","https://openalex.org/W2135131618","https://openalex.org/W2135342008","https://openalex.org/W2141535112","https://openalex.org/W2148154194","https://openalex.org/W2170086602","https://openalex.org/W2404370019","https://openalex.org/W3186862562","https://openalex.org/W4255272544","https://openalex.org/W6600593648","https://openalex.org/W6680980493","https://openalex.org/W6713152820"],"related_works":["https://openalex.org/W2731305060","https://openalex.org/W2372003537","https://openalex.org/W1983393909","https://openalex.org/W3121346907","https://openalex.org/W2040150569","https://openalex.org/W4379535633","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"Many":[0],"zones,":[1],"especially":[2],"wild":[3],"areas":[4],"need":[5],"surveillance":[6,22,38],"systems":[7,23],"in":[8,25,92,175],"order":[9],"to":[10],"protect":[11],"them":[12],"against":[13],"potential":[14],"destroying":[15],"actions.":[16],"An":[17],"attractive":[18],"solution":[19],"for":[20,119],"automatic":[21],"consists":[24],"audio":[26,110],"based":[27],"systems,":[28],"which":[29],"present":[30],"some":[31],"advantages":[32],"compared":[33],"with":[34,48,113],"video":[35],"or":[36,69,99],"mixt":[37],"systems.":[39],"This":[40],"paper":[41],"proposes":[42],"an":[43],"alarming":[44],"events":[45,91],"detection":[46,50],"system":[47,57,85,102,136],"two":[49,120],"levels.":[51],"On":[52,75],"the":[53,56,61,76,82,84,88,109,114,143,151,161,176],"first":[54,152],"level":[55,153],"detects":[58],"only":[59],"if":[60,79],"event":[62],"is":[63,81,137],"a":[64,70,104,138],"dangerous":[65],"one":[66,72],"(alarm":[67,73],"on)":[68],"normal":[71],"off).":[74],"second":[77,162],"level,":[78],"it":[80],"case,":[83],"identifies":[86],"exactly":[87],"nature":[89],"of":[90,106,108],"four":[93],"classes:":[94],"chainsaw,":[95],"gunshot,":[96],"human":[97],"voice":[98],"tractors.":[100],"The":[101,130],"uses":[103],"set":[105,168],"features":[107],"signals":[111],"associated":[112],"events,":[115],"as":[116,126],"input":[117],"data":[118,167,179],"artificial":[121],"neural":[122],"networks":[123],"that":[124,134],"act":[125],"pattern":[127],"recognition":[128,147,158],"components.":[129],"experimental":[131],"results":[132],"prove":[133],"our":[135],"very":[139,155],"reliable":[140],"one,":[141],"presenting":[142],"maximum":[144],"possible":[145],"correct":[146,157],"rate":[148],"(100%)":[149],"on":[150,160],"and":[154,171,173],"high":[156],"rates":[159],"level:":[163],"99.50%":[164],"across":[165],"all":[166],"(training,":[169],"validation":[170],"testing)":[172],"95.0%":[174],"independent":[177],"testing":[178],"subset.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
