{"id":"https://openalex.org/W4317419708","doi":"https://doi.org/10.1109/gcce56475.2022.10014362","title":"Audio Recognition of Crying Children Sounds Using Deep-Learning Technique to Prevent Trap in School Van","display_name":"Audio Recognition of Crying Children Sounds Using Deep-Learning Technique to Prevent Trap in School Van","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4317419708","doi":"https://doi.org/10.1109/gcce56475.2022.10014362"},"language":"en","primary_location":{"id":"doi:10.1109/gcce56475.2022.10014362","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014362","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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/A5013242013","display_name":"Mathias Saconnet","orcid":null},"institutions":[{"id":"https://openalex.org/I177064439","display_name":"Universit\u00e9 de Bourgogne","ror":"https://ror.org/03k1bsr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I177064439"]},{"id":"https://openalex.org/I4210144888","display_name":"Business France","ror":"https://ror.org/03x542r19","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210144888"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mathias Saconnet","raw_affiliation_strings":["University of Burgundy,ESIREM,France","ESIREM, University of Burgundy, France"],"affiliations":[{"raw_affiliation_string":"University of Burgundy,ESIREM,France","institution_ids":["https://openalex.org/I4210144888"]},{"raw_affiliation_string":"ESIREM, University of Burgundy, France","institution_ids":["https://openalex.org/I177064439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051073382","display_name":"Corentin Fauchart","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144888","display_name":"Business France","ror":"https://ror.org/03x542r19","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210144888"]},{"id":"https://openalex.org/I177064439","display_name":"Universit\u00e9 de Bourgogne","ror":"https://ror.org/03k1bsr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I177064439"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Corentin Fauchart","raw_affiliation_strings":["University of Burgundy,ESIREM,France","ESIREM, University of Burgundy, France"],"affiliations":[{"raw_affiliation_string":"University of Burgundy,ESIREM,France","institution_ids":["https://openalex.org/I4210144888"]},{"raw_affiliation_string":"ESIREM, University of Burgundy, France","institution_ids":["https://openalex.org/I177064439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027791521","display_name":"Sami Ferdjani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144888","display_name":"Business France","ror":"https://ror.org/03x542r19","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210144888"]},{"id":"https://openalex.org/I177064439","display_name":"Universit\u00e9 de Bourgogne","ror":"https://ror.org/03k1bsr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I177064439"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sami Ferdjani","raw_affiliation_strings":["University of Burgundy,ESIREM,France","ESIREM, University of Burgundy, France"],"affiliations":[{"raw_affiliation_string":"University of Burgundy,ESIREM,France","institution_ids":["https://openalex.org/I4210144888"]},{"raw_affiliation_string":"ESIREM, University of Burgundy, France","institution_ids":["https://openalex.org/I177064439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036459733","display_name":"Kingkarn Sookhanaphibarn","orcid":"https://orcid.org/0000-0003-3100-3469"},"institutions":[{"id":"https://openalex.org/I55913730","display_name":"Bangkok University","ror":"https://ror.org/002qeva03","country_code":"TH","type":"education","lineage":["https://openalex.org/I55913730"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kingkarn Sookhanaphibarn","raw_affiliation_strings":["Bangkok University,BU-Multimedia Intelligent Technology Laboratory, School of Information Technology and Innovation,Thailand","BU-Multimedia Intelligent Technology Laboratory, School of Information Technology and Innovation, Bangkok University, Thailand"],"affiliations":[{"raw_affiliation_string":"Bangkok University,BU-Multimedia Intelligent Technology Laboratory, School of Information Technology and Innovation,Thailand","institution_ids":["https://openalex.org/I55913730"]},{"raw_affiliation_string":"BU-Multimedia Intelligent Technology Laboratory, School of Information Technology and Innovation, Bangkok University, Thailand","institution_ids":["https://openalex.org/I55913730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014325435","display_name":"Worawat Choensawat","orcid":"https://orcid.org/0000-0002-6785-0953"},"institutions":[{"id":"https://openalex.org/I55913730","display_name":"Bangkok University","ror":"https://ror.org/002qeva03","country_code":"TH","type":"education","lineage":["https://openalex.org/I55913730"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Worawat Choensawat","raw_affiliation_strings":["Bangkok University,BU-Multimedia Intelligent Technology Laboratory, School of Information Technology and Innovation,Thailand","BU-Multimedia Intelligent Technology Laboratory, School of Information Technology and Innovation, Bangkok University, Thailand"],"affiliations":[{"raw_affiliation_string":"Bangkok University,BU-Multimedia Intelligent Technology Laboratory, School of Information Technology and Innovation,Thailand","institution_ids":["https://openalex.org/I55913730"]},{"raw_affiliation_string":"BU-Multimedia Intelligent Technology Laboratory, School of Information Technology and Innovation, Bangkok University, Thailand","institution_ids":["https://openalex.org/I55913730"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013242013"],"corresponding_institution_ids":["https://openalex.org/I177064439","https://openalex.org/I4210144888"],"apc_list":null,"apc_paid":null,"fwci":0.1229,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.32638231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"589","last_page":"591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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/T13289","display_name":"Infant Health and Development","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9908999800682068,"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/crying","display_name":"Crying","score":0.9185463190078735},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.7798277139663696},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6382836699485779},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5615583658218384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5322900414466858},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4883250892162323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.407802939414978},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2999762296676636},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2318483591079712},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.21550244092941284}],"concepts":[{"id":"https://openalex.org/C2778013503","wikidata":"https://www.wikidata.org/wiki/Q152247","display_name":"Crying","level":2,"score":0.9185463190078735},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7798277139663696},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6382836699485779},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5615583658218384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5322900414466858},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4883250892162323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.407802939414978},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2999762296676636},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2318483591079712},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.21550244092941284},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce56475.2022.10014362","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014362","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5400000214576721,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2794026873","https://openalex.org/W3121328487","https://openalex.org/W4223906009"],"related_works":["https://openalex.org/W2038216521","https://openalex.org/W2736574136","https://openalex.org/W2565286512","https://openalex.org/W2399955410","https://openalex.org/W3126677997","https://openalex.org/W3129283347","https://openalex.org/W2097377227","https://openalex.org/W2933782699","https://openalex.org/W2565238693","https://openalex.org/W1979706156"],"abstract_inverted_index":{"Between":[0],"2014":[1],"and":[2,43,104],"2020,":[3],"the":[4,27,55,83,87,118],"Department":[5],"of":[6,15,62,86,120],"Disease":[7],"Control":[8],"in":[9,20,31,54,72,82],"Thailand":[10],"reported":[11],"six":[12],"children":[13,69],"died":[14],"heatstroke":[16],"after":[17],"being":[18],"left":[19],"a":[21,40,48,60,63,73,113],"vehicle.":[22,56],"A":[23],"solution":[24],"to":[25,67,101],"stop":[26],"trapped":[28],"kindergarten":[29],"students":[30],"school":[32,41,74,88],"vans":[33],"is":[34,52,112],"an":[35,45],"applied":[36],"technology":[37],"that":[38,116],"monitors":[39],"van":[42,75],"sends":[44],"alert":[46],"when":[47],"child":[49,107,124],"cries":[50],"or":[51],"locked":[53],"This":[57],"work":[58,85,122],"used":[59],"theory":[61],"Deep":[64],"Learning":[65],"algorithm":[66],"detect":[68,105],"crying":[70,106,125],"sounds":[71],"over":[76],"ambient":[77],"traffic":[78],"noise,":[79],"as":[80],"addressed":[81],"previous":[84],"bus":[89],"platform":[90],"project.":[91],"The":[92,109],"audio":[93],"recognition":[94],"system":[95],"uses":[96],"Mel-Frequency":[97],"Cepstral":[98],"Coefficients":[99],"(MFCC)":[100],"filter":[102],"noise":[103],"sounds.":[108],"output":[110],"obtained":[111],"pre-trained":[114],"model":[115],"fulfills":[117],"objectives":[119],"this":[121],"(detecting":[123],"sounds).":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}