{"id":"https://openalex.org/W3020588108","doi":"https://doi.org/10.1109/access.2020.2988986","title":"Acoustic-Based Emergency Vehicle Detection Using Convolutional Neural Networks","display_name":"Acoustic-Based Emergency Vehicle Detection Using Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3020588108","doi":"https://doi.org/10.1109/access.2020.2988986","mag":"3020588108"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2988986","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2988986","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.2988986","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010107824","display_name":"Van-Thuan Tran","orcid":"https://orcid.org/0000-0002-3197-679X"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Van-Thuan Tran","raw_affiliation_strings":["National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-3197-679X","affiliations":[{"raw_affiliation_string":"National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020303183","display_name":"Wei-Ho Tsai","orcid":"https://orcid.org/0000-0002-0867-7951"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Ho Tsai","raw_affiliation_strings":["National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010107824"],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":8.6609,"has_fulltext":false,"cited_by_count":122,"citation_normalized_percentile":{"value":0.98635057,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"75702","last_page":"75713"},"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":0.9976999759674072,"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":0.9846000075340271,"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/siren","display_name":"Siren (mythology)","score":0.9560242891311646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7571538686752319},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.7247540354728699},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6608850955963135},{"id":"https://openalex.org/keywords/headset","display_name":"Headset","score":0.626785159111023},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5040146708488464},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45538049936294556},{"id":"https://openalex.org/keywords/soundscape","display_name":"Soundscape","score":0.4518711566925049},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4490787982940674},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.43217504024505615},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42168647050857544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3410366177558899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34005337953567505},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.26171329617500305},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17862743139266968},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1468382179737091}],"concepts":[{"id":"https://openalex.org/C160844653","wikidata":"https://www.wikidata.org/wiki/Q150986","display_name":"Siren (mythology)","level":2,"score":0.9560242891311646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7571538686752319},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7247540354728699},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6608850955963135},{"id":"https://openalex.org/C2780657452","wikidata":"https://www.wikidata.org/wiki/Q1193170","display_name":"Headset","level":2,"score":0.626785159111023},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5040146708488464},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45538049936294556},{"id":"https://openalex.org/C142795923","wikidata":"https://www.wikidata.org/wiki/Q1358257","display_name":"Soundscape","level":3,"score":0.4518711566925049},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4490787982940674},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.43217504024505615},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42168647050857544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3410366177558899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34005337953567505},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.26171329617500305},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17862743139266968},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1468382179737091},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2988986","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2988986","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5080316787ee43de91bdb588704ad98f","is_oa":true,"landing_page_url":"https://doaj.org/article/5080316787ee43de91bdb588704ad98f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 75702-75713 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2988986","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2988986","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6345999032","display_name":null,"funder_award_id":"MOST 108-2221-E-027-064","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1509840103","https://openalex.org/W1522301498","https://openalex.org/W1964131130","https://openalex.org/W1972567154","https://openalex.org/W1989881347","https://openalex.org/W1995562189","https://openalex.org/W2038484192","https://openalex.org/W2040472872","https://openalex.org/W2043896256","https://openalex.org/W2052666245","https://openalex.org/W2059203007","https://openalex.org/W2102346872","https://openalex.org/W2132535108","https://openalex.org/W2138315918","https://openalex.org/W2156983866","https://openalex.org/W2183644544","https://openalex.org/W2191779130","https://openalex.org/W2509065397","https://openalex.org/W2514506932","https://openalex.org/W2593451766","https://openalex.org/W2737712196","https://openalex.org/W2751841560","https://openalex.org/W2767035468","https://openalex.org/W2774097455","https://openalex.org/W2782700864","https://openalex.org/W2937047963","https://openalex.org/W2978673921","https://openalex.org/W3098357269","https://openalex.org/W6631190155","https://openalex.org/W6675700563","https://openalex.org/W6680537537","https://openalex.org/W6746683323"],"related_works":["https://openalex.org/W2549936067","https://openalex.org/W2325061356","https://openalex.org/W2378218812","https://openalex.org/W1254698036","https://openalex.org/W2549567669","https://openalex.org/W2549439819","https://openalex.org/W1996448601","https://openalex.org/W2733934953","https://openalex.org/W2896201871","https://openalex.org/W4229632010"],"abstract_inverted_index":{"This":[0],"work":[1,164],"investigates":[2],"how":[3],"to":[4,46,63,68,85,91,146],"detect":[5],"emergency":[6,35,60],"vehicles":[7,61],"such":[8],"as":[9],"ambulances,":[10],"fire":[11],"engines,":[12],"and":[13,96,108,124,143],"police":[14],"cars":[15],"based":[16],"on":[17,130],"their":[18],"siren":[19,31,57,92,155],"sounds.":[20],"Recognizing":[21],"that":[22,52,135],"car":[23],"drivers":[24,67,196],"may":[25],"sometimes":[26],"be":[27,191],"unaware":[28],"of":[29,88,151,175,185],"the":[30,34,100,109,136,141,154,160,178],"warnings":[32],"from":[33,59],"vehicles,":[36],"especially":[37],"when":[38],"in-vehicle":[39],"audio":[40],"systems":[41],"are":[42,56],"used,":[43],"we":[44],"propose":[45],"develop":[47],"an":[48],"automatic":[49],"detection":[50],"system":[51,162,179,189],"determines":[53],"whether":[54],"there":[55],"sounds":[58,87],"nearby":[62],"alert":[64],"other":[65],"vehicles'":[66],"pay":[69],"attention.":[70],"A":[71],"convolutional":[72],"neural":[73],"network":[74,81],"(CNN)-based":[75],"ensemble":[76],"model":[77],"(SirenNet)":[78],"with":[79,114,167],"two":[80],"streams":[82],"is":[83],"designed":[84],"classify":[86],"traffic":[89],"soundscape":[90],"sounds,":[93],"vehicle":[94],"horns,":[95],"noise,":[97],"in":[98,153],"which":[99],"first":[101],"stream":[102],"(WaveNet)":[103],"directly":[104],"processes":[105],"raw":[106,137],"waveform,":[107],"second":[110],"one":[111],"(MLNet)":[112],"works":[113],"a":[115,131,148,182],"combined":[116],"feature":[117],"formed":[118],"by":[119],"MFCC":[120,142],"(Mel-frequency":[121],"cepstral":[122],"coefficients)":[123],"log-mel":[125,144],"spectrogram.":[126],"Our":[127],"experiments":[128],"conducted":[129],"diverse":[132],"dataset":[133],"show":[134],"data":[138],"can":[139,163],"complement":[140],"features":[145],"achieve":[147],"promising":[149],"accuracy":[150,184],"98.24%":[152],"sound":[156],"detection.":[157],"In":[158],"addition,":[159],"proposed":[161,188],"very":[165],"well":[166],"variable":[168],"input":[169],"length.":[170],"Even":[171],"for":[172,193],"short":[173],"samples":[174],"0.25":[176],"seconds,":[177],"still":[180],"achieves":[181],"high":[183],"96.89%.":[186],"The":[187],"could":[190],"helpful":[192],"not":[194],"only":[195],"but":[197],"also":[198],"autopilot":[199],"systems.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4}],"updated_date":"2026-05-14T08:36:36.166977","created_date":"2025-10-10T00:00:00"}
