{"id":"https://openalex.org/W2678199776","doi":"https://doi.org/10.1109/icassp.2017.7952181","title":"Detection of anomaly acoustic scenes based on a temporal dissimilarity model","display_name":"Detection of anomaly acoustic scenes based on a temporal dissimilarity model","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2678199776","doi":"https://doi.org/10.1109/icassp.2017.7952181","mag":"2678199776"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5113730169","display_name":"Tatsuya Komatsu","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Komatsu","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation, Kawasaki, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041279908","display_name":"Reishi Kondo","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Reishi Kondo","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation, Kawasaki, Japan","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":null,"apc_paid":null,"fwci":1.8586,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89121154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"376","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9787999987602234,"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/T11220","display_name":"Water Systems and Optimization","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/anomaly","display_name":"Anomaly (physics)","score":0.7333002686500549},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6884589791297913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5802164077758789},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5506231784820557},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.5491256713867188},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5319231748580933},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5138766765594482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44952642917633057},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4179230034351349},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33737772703170776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17499014735221863},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14408880472183228},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.059300243854522705}],"concepts":[{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.7333002686500549},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6884589791297913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5802164077758789},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5506231784820557},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.5491256713867188},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5319231748580933},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5138766765594482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44952642917633057},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4179230034351349},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33737772703170776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17499014735221863},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14408880472183228},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.059300243854522705},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":24,"referenced_works":["https://openalex.org/W139051966","https://openalex.org/W1509325192","https://openalex.org/W1601124178","https://openalex.org/W1682770403","https://openalex.org/W2014235936","https://openalex.org/W2033178790","https://openalex.org/W2044535354","https://openalex.org/W2058189943","https://openalex.org/W2083912674","https://openalex.org/W2095345875","https://openalex.org/W2097187469","https://openalex.org/W2108287924","https://openalex.org/W2118230268","https://openalex.org/W2135131618","https://openalex.org/W2166980079","https://openalex.org/W2168249484","https://openalex.org/W2399403472","https://openalex.org/W2407542046","https://openalex.org/W3092213245","https://openalex.org/W4238637301","https://openalex.org/W6605694306","https://openalex.org/W6674601012","https://openalex.org/W6684713764","https://openalex.org/W6784489076"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"detection":[3],"of":[4,20],"anomaly":[5,79],"acoustic":[6,21,51,54,80],"scenes":[7,22,55,81],"based":[8,58],"on":[9,59],"a":[10,32],"temporal":[11,18,41],"dissimilarity":[12,46,63],"model.":[13,35,64],"The":[14],"periodicity":[15],"in":[16,85],"the":[17,37,40,60,73],"variation":[19,42],"is":[23,43],"first":[24],"pointed":[25],"out":[26],"and":[27,49],"then":[28],"used":[29],"to":[30],"build":[31],"new":[33,38],"stochastic":[34],"In":[36],"model,":[39],"expressed":[44],"by":[45],"between":[47],"current":[48],"previous":[50],"scenes.":[52],"Anomaly":[53],"are":[56],"detected":[57],"24-hour":[61],"periodic":[62],"Evaluation":[65],"results":[66],"using":[67],"40-day":[68],"(1000-hour)":[69],"data":[70],"show":[71],"that":[72],"proposed":[74],"method":[75],"can":[76],"detect":[77],"unknown":[78],"with":[82],"82.3%":[83],"F-measure":[84],"0":[86],"dB":[87],"signal-to-noise-ratio":[88],"conditions.":[89]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}