{"id":"https://openalex.org/W4200345218","doi":"https://doi.org/10.1145/3461615.3491111","title":"Call For Help Detection In Emergent Situations Using Keyword Spotting And Paralinguistic Analysis","display_name":"Call For Help Detection In Emergent Situations Using Keyword Spotting And Paralinguistic Analysis","publication_year":2021,"publication_date":"2021-10-18","ids":{"openalex":"https://openalex.org/W4200345218","doi":"https://doi.org/10.1145/3461615.3491111"},"language":"en","primary_location":{"id":"doi:10.1145/3461615.3491111","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3461615.3491111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Publication of the 2021 International Conference on Multimodal Interaction","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/A5025506187","display_name":"Huangrui Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huangrui Chu","raw_affiliation_strings":["Data Science Research Center, Duke Kunshan University, China"],"affiliations":[{"raw_affiliation_string":"Data Science Research Center, Duke Kunshan University, China","institution_ids":["https://openalex.org/I4210159968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075634171","display_name":"Yechen Wang","orcid":"https://orcid.org/0009-0006-9419-4206"},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yechen Wang","raw_affiliation_strings":["Data Science Research Center, Duke Kunshan University, China"],"affiliations":[{"raw_affiliation_string":"Data Science Research Center, Duke Kunshan University, China","institution_ids":["https://openalex.org/I4210159968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006327991","display_name":"Ran Ju","orcid":"https://orcid.org/0000-0001-5506-7155"},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Ju","raw_affiliation_strings":["Data Science Research Center, Duke Kunshan University, China"],"affiliations":[{"raw_affiliation_string":"Data Science Research Center, Duke Kunshan University, China","institution_ids":["https://openalex.org/I4210159968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101705677","display_name":"Yan Jia","orcid":"https://orcid.org/0000-0003-2857-0518"},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Jia","raw_affiliation_strings":["Data Science Research Center, Duke Kunshan University, China"],"affiliations":[{"raw_affiliation_string":"Data Science Research Center, Duke Kunshan University, China","institution_ids":["https://openalex.org/I4210159968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016797242","display_name":"Haoxu Wang","orcid":"https://orcid.org/0000-0002-5430-0899"},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxu Wang","raw_affiliation_strings":["Data Science Research Center, Duke Kunshan University, China"],"affiliations":[{"raw_affiliation_string":"Data Science Research Center, Duke Kunshan University, China","institution_ids":["https://openalex.org/I4210159968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351449","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-6406-1983"},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["Data Science Research Center, Duke Kunshan University, China"],"affiliations":[{"raw_affiliation_string":"Data Science Research Center, Duke Kunshan University, China","institution_ids":["https://openalex.org/I4210159968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042455675","display_name":"Qi Deng","orcid":"https://orcid.org/0000-0002-5318-0725"},"institutions":[{"id":"https://openalex.org/I864008144","display_name":"Kone (Switzerland)","ror":"https://ror.org/00476rc02","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210158129","https://openalex.org/I864008144"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Qi Deng","raw_affiliation_strings":["Technology Asia and Escalator, KONE Elevators Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Technology Asia and Escalator, KONE Elevators Co., Ltd., China","institution_ids":["https://openalex.org/I864008144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5025506187"],"corresponding_institution_ids":["https://openalex.org/I4210159968"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.19054825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"104","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9925000071525574,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9925000071525574,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9918000102043152,"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/T10028","display_name":"Topic Modeling","score":0.9890000224113464,"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/paralanguage","display_name":"Paralanguage","score":0.9730713367462158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7079126834869385},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.6331316232681274},{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.6160984039306641},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36120301485061646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3332175612449646},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.14123812317848206},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07043537497520447}],"concepts":[{"id":"https://openalex.org/C133378560","wikidata":"https://www.wikidata.org/wiki/Q1753225","display_name":"Paralanguage","level":2,"score":0.9730713367462158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7079126834869385},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.6331316232681274},{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.6160984039306641},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36120301485061646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3332175612449646},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.14123812317848206},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07043537497520447}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3461615.3491111","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3461615.3491111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Publication of the 2021 International Conference on Multimodal Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1508386844","https://openalex.org/W2034940213","https://openalex.org/W2057563799","https://openalex.org/W2089537772","https://openalex.org/W2143104527","https://openalex.org/W2150769028","https://openalex.org/W2180587936","https://openalex.org/W2399363370","https://openalex.org/W2407023693","https://openalex.org/W2587529061","https://openalex.org/W2696967604","https://openalex.org/W2747262669","https://openalex.org/W2748488820","https://openalex.org/W2888867175","https://openalex.org/W2963414149","https://openalex.org/W3098773154","https://openalex.org/W4256373180"],"related_works":["https://openalex.org/W2918559346","https://openalex.org/W2114097550","https://openalex.org/W4286904253","https://openalex.org/W3119978414","https://openalex.org/W2516975559","https://openalex.org/W2545741539","https://openalex.org/W3206647229","https://openalex.org/W1969408022","https://openalex.org/W2000885660","https://openalex.org/W2117995638"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,6,12,20,24,29,33,48,77,106,120,127,130,139,155,158,168,171,181,189,198],"safety":[2,31],"of":[3,75,191],"passengers":[4,21,38],"within":[5,122],"enclosed":[7],"public":[8],"space,":[9],"such":[10,174],"as":[11,175],"elevator,":[13],"becomes":[14],"more":[15,17],"and":[16,100,113,157,170,194,208],"important.":[18],"Though":[19],"can":[22],"click":[23,47],"\u201dSOS\u201d":[25],"button":[26,49],"to":[27,43,46,55,68,103,125,137],"call":[28,69,141],"remote":[30],"guard,":[32],"chances":[34],"are":[35,206],"that":[36,197],"some":[37],"might":[39,118],"lose":[40],"their":[41],"ability":[42],"stand":[44],"up":[45],"or":[50,177],"it":[51],"is":[52,86,136],"not":[53],"convenient":[54],"do":[56],"so":[57],"when":[58,167],"in":[59,111,147],"emergency":[60,172],"situations.":[61],"Also,":[62],"people\u2019s":[63],"first":[64],"reaction":[65],"may":[66],"be":[67,165],"for":[70,109,142,210],"help":[71,110,124,143],"using":[72,97],"voice":[73],"instead":[74],"pressing":[76],"mayday":[78],"button.":[79],"Thus,":[80],"we":[81,150,187,195],"believe":[82],"a":[83,95],"speech-based":[84],"system":[85,96,162],"very":[87],"useful":[88],"under":[89,214],"this":[90,185],"scenario.":[91],"This":[92],"work":[93],"proposes":[94],"keyword":[98,132,144,156,169,203,211],"spotting":[99,133,204,212],"paralinguistic":[101,159],"analysis":[102],"detect":[104,138],"whether":[105],"passenger":[107,121],"calls":[108],"mandarin":[112],"gives":[114],"real-time":[115],"feedback":[116],"which":[117,135],"provide":[119],"time":[123],"prevent":[126],"accident.":[128],"Unlike":[129],"standard":[131],"task":[134],"pre-defined":[140],"\u201djiu":[145],"ming\u201d":[146],"any":[148],"scenario,":[149],"focus":[151],"on":[152],"detecting":[153],"both":[154],"states.":[160],"The":[161],"will":[163],"only":[164],"triggered":[166],"situation":[173],"shouting":[176],"screaming":[178],"appear":[179],"at":[180],"same":[182],"time.":[183],"To":[184],"end,":[186],"compare":[188],"performance":[190],"different":[192],"methods":[193,205],"find":[196],"deep":[199],"neural":[200],"network-based":[201],"small-footprint":[202],"effective":[207],"efficient":[209],"tasks":[213],"emotional":[215],"scenarios.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
