{"id":"https://openalex.org/W3012118081","doi":"https://doi.org/10.1109/sii46433.2020.9025855","title":"Announcement Capture System in Real Environments Using Recurrent Neural Network","display_name":"Announcement Capture System in Real Environments Using Recurrent Neural Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3012118081","doi":"https://doi.org/10.1109/sii46433.2020.9025855","mag":"3012118081"},"language":"en","primary_location":{"id":"doi:10.1109/sii46433.2020.9025855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii46433.2020.9025855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/SICE International Symposium on System Integration (SII)","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/A5040868419","display_name":"Shintaro Nakazawa","orcid":null},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shintaro Nakazawa","raw_affiliation_strings":["Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025722799","display_name":"Takeshi Sasaki","orcid":"https://orcid.org/0000-0001-8638-5412"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Sasaki","raw_affiliation_strings":["Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040868419"],"corresponding_institution_ids":["https://openalex.org/I171481255"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02662312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1046","last_page":"1051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9848999977111816,"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/T11309","display_name":"Music and Audio Processing","score":0.9649999737739563,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8304678201675415},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7344146370887756},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7216749787330627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5691243410110474},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5386014580726624},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5280968546867371},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.499645471572876},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.47715896368026733},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4518815279006958},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42599183320999146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36369478702545166}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8304678201675415},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7344146370887756},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7216749787330627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5691243410110474},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5386014580726624},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5280968546867371},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.499645471572876},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.47715896368026733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4518815279006958},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42599183320999146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36369478702545166},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii46433.2020.9025855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii46433.2020.9025855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W138633688","https://openalex.org/W1494395633","https://openalex.org/W1575352158","https://openalex.org/W1996703103","https://openalex.org/W1997430507","https://openalex.org/W2064675550","https://openalex.org/W2107878631","https://openalex.org/W2114782757","https://openalex.org/W2116261113","https://openalex.org/W2131774270","https://openalex.org/W2341412280","https://openalex.org/W2593327440","https://openalex.org/W2612615575","https://openalex.org/W6634593699","https://openalex.org/W6677408996","https://openalex.org/W6734353744","https://openalex.org/W6737807220"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W4318559728","https://openalex.org/W2775233965","https://openalex.org/W4360995913","https://openalex.org/W4312193868","https://openalex.org/W4308165509"],"abstract_inverted_index":{"Announcement":[0],"is":[1,6,22,69,114,164],"useful":[2],"transmission":[3],"mean.":[4],"It":[5],"used":[7],"in":[8,17,25,60,79,108,144,177],"various":[9,35],"places.":[10],"Important":[11],"information":[12],"such":[13],"as":[14],"evacuation":[15],"guidance":[16],"the":[18,26,67,86,91,96,99,117,123,126,140,142,145,157,169,175,178,184,188,195],"case":[19],"of":[20,53,66,98,116,119,128,139,171,194],"emergency":[21],"often":[23],"transmitted":[24],"announcements.":[27,103,153],"But":[28],"some":[29,80,109],"people":[30],"miss":[31],"it":[32,159],"due":[33],"to":[34,46,89,101,151,156,167,182],"factors.":[36],"In":[37,122,154],"this":[38],"paper,":[39],"we":[40,94],"propose":[41],"an":[42],"announcement":[43,68,172,196],"capture":[44],"system":[45,51],"resolve":[47],"that":[48,162],"problems.":[49],"The":[50,104],"consists":[52],"three":[54],"steps:":[55],"Firstly,":[56],"announcements":[57,76],"are":[58,77,197],"detected":[59,72],"real":[61],"environmental":[62],"recordings.":[63],"Secondly,":[64],"duration":[65],"extracted":[70,75],"from":[71],"sounds.":[73],"Finally,":[74],"output":[78],"form":[81],"on":[82],"user's":[83],"device.":[84],"For":[85],"first":[87],"step":[88],"develop":[90],"proposed":[92],"system,":[93],"validated":[95],"performance":[97,170],"classifier":[100,105],"detect":[102],"was":[106,149,160],"trained":[107,131],"features":[110,134],"using":[111,174],"BLSTM":[112],"which":[113],"one":[115],"methods":[118],"machine":[120],"learning.":[121],"validation":[124],"experiment,":[125],"performances":[127],"each":[129],"classifiers":[130],"by":[132],"varying":[133],"were":[135],"compared.":[136],"As":[137],"results":[138],"validation,":[141],"feature":[143,176],"human":[146],"perceptual":[147],"aspect":[148],"effective":[150],"identify":[152],"addition":[155],"result,":[158],"considered":[161],"there":[163],"a":[165],"possibility":[166],"improve":[168],"detection":[173],"acoustic":[179,185],"aspect.":[180],"However,":[181],"incorporate":[183],"feature,":[186],"reviewing":[187],"hyperparameters":[189],"and":[190],"removing":[191],"surrounding":[192],"sounds":[193],"required.":[198]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
