{"id":"https://openalex.org/W3208863857","doi":"https://doi.org/10.1109/iicaiet51634.2021.9573852","title":"Performance of Machine Learning Classifiers in Distress Keywords Recognition for Audio Surveillance Applications","display_name":"Performance of Machine Learning Classifiers in Distress Keywords Recognition for Audio Surveillance Applications","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3208863857","doi":"https://doi.org/10.1109/iicaiet51634.2021.9573852","mag":"3208863857"},"language":"en","primary_location":{"id":"doi:10.1109/iicaiet51634.2021.9573852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iicaiet51634.2021.9573852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","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/A5060503418","display_name":"Nadhirah Johari","orcid":null},"institutions":[{"id":"https://openalex.org/I161371597","display_name":"Universiti of Malaysia Sabah","ror":"https://ror.org/040v70252","country_code":"MY","type":"education","lineage":["https://openalex.org/I161371597"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nadhirah Johari","raw_affiliation_strings":["Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia","institution_ids":["https://openalex.org/I161371597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076127334","display_name":"Mazlina Mamat","orcid":"https://orcid.org/0000-0003-4516-460X"},"institutions":[{"id":"https://openalex.org/I161371597","display_name":"Universiti of Malaysia Sabah","ror":"https://ror.org/040v70252","country_code":"MY","type":"education","lineage":["https://openalex.org/I161371597"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mazlina Mamat","raw_affiliation_strings":["Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia","institution_ids":["https://openalex.org/I161371597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057448806","display_name":"Ali Chekima","orcid":null},"institutions":[{"id":"https://openalex.org/I161371597","display_name":"Universiti of Malaysia Sabah","ror":"https://ror.org/040v70252","country_code":"MY","type":"education","lineage":["https://openalex.org/I161371597"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ali Chekima","raw_affiliation_strings":["Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia","institution_ids":["https://openalex.org/I161371597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161371597"],"apc_list":null,"apc_paid":null,"fwci":0.2994,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54723014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9955000281333923,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.745864987373352},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5637344717979431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154169797897339},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4841969311237335},{"id":"https://openalex.org/keywords/distress","display_name":"Distress","score":0.47100797295570374},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44756969809532166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3733801245689392},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08495810627937317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.745864987373352},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5637344717979431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154169797897339},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4841969311237335},{"id":"https://openalex.org/C139265228","wikidata":"https://www.wikidata.org/wiki/Q5283089","display_name":"Distress","level":2,"score":0.47100797295570374},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44756969809532166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3733801245689392},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08495810627937317},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iicaiet51634.2021.9573852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iicaiet51634.2021.9573852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ums.edu.my:32526","is_oa":false,"landing_page_url":"http://eprints.ums.edu.my/id/eprint/32526/1/Performance%20of%20machine%20learning%20classifiers%20in%20distress%20keywords%20recognition%20for%20audio%20surveillance%20applications.ABSTRACT.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400331","display_name":"UMS Institutional Repository (Universiti Malaysia Sabah)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I161371597","host_organization_name":"Universiti of Malaysia Sabah","host_organization_lineage":["https://openalex.org/I161371597"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1529416950","https://openalex.org/W1839587738","https://openalex.org/W1988176704","https://openalex.org/W2018383168","https://openalex.org/W2068453852","https://openalex.org/W2094100186","https://openalex.org/W2152761983","https://openalex.org/W2395445704","https://openalex.org/W2624262830","https://openalex.org/W2756291343","https://openalex.org/W2761246525","https://openalex.org/W2778455075","https://openalex.org/W2789461963","https://openalex.org/W2803881474","https://openalex.org/W2811328631","https://openalex.org/W2932674758","https://openalex.org/W2952014779","https://openalex.org/W3043459142","https://openalex.org/W3094269141","https://openalex.org/W3100014569","https://openalex.org/W3110409997","https://openalex.org/W3120582997","https://openalex.org/W3134336752","https://openalex.org/W3135062549","https://openalex.org/W3136621928","https://openalex.org/W3148181069","https://openalex.org/W4248220371","https://openalex.org/W6631478027","https://openalex.org/W6712368282","https://openalex.org/W6747530153","https://openalex.org/W6786894488","https://openalex.org/W6788516182","https://openalex.org/W6791996544"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W1980100242"],"abstract_inverted_index":{"The":[0,54,122,144],"ability":[1],"to":[2,24,33,42,57,78],"recognize":[3,175],"distress":[4,27,45,68,90],"speech":[5],"is":[6,56,151],"the":[7,18,48,64,97,107,130,135,148,152,168],"essence":[8],"of":[9,83,101],"an":[10],"intelligent":[11],"audio":[12,49,85,127],"surveillance":[13,19,50],"system.":[14],"With":[15],"this":[16],"ability,":[17],"system":[20,51],"can":[21,174],"be":[22,79],"configured":[23],"detect":[25],"specific":[26],"keywords":[28,46,91],"and":[29,74,94,99,118,160,182],"launch":[30],"appropriate":[31],"actions":[32],"prevent":[34],"unwanted":[35],"incidents":[36],"from":[37,106,125],"progressing.":[38],"This":[39,163],"paper":[40],"aims":[41],"find":[43],"potential":[44],"that":[47,147],"could":[52],"recognize.":[53],"idea":[55],"use":[58],"a":[59],"machine":[60],"learning":[61],"classifier":[62,103],"as":[63],"recognition":[65],"engine.":[66],"Five":[67],"keywords:":[69],"\u2018Help\u2019,":[70,157],"\u2018No\u2019,":[71],"\u2018Oi\u2019,":[72,158],"\u2018Please\u2019,":[73],"\u2018Tolong\u2019":[75],"were":[76,92],"selected":[77],"analyzed.":[80],"A":[81],"total":[82],"515":[84],"signals":[86],"comprising":[87],"these":[88],"five":[89],"collected":[93],"used":[95],"in":[96,180,185],"training":[98,181],"testing":[100],"27":[102],"models,":[104],"derived":[105],"Decision":[108],"Tree,":[109],"Na\u00efve":[110],"Bias,":[111],"Support":[112],"Vector":[113],"Machine,":[114],"K-Nearest":[115],"Neighbour,":[116],"Ensemble,":[117],"Artificial":[119],"Neural":[120],"Network.":[121],"features":[123],"extracted":[124],"each":[126],"signal":[128],"are":[129],"Mel-frequency":[131],"Cepstral":[132],"Coefficients,":[133],"while":[134],"Principal":[136],"Component":[137],"Analysis":[138],"was":[139,165],"applied":[140],"for":[141],"feature":[142],"reduction.":[143],"results":[145],"show":[146],"keyword":[149],"\u2018Please\u2019":[150,176],"most":[153],"recognized,":[154],"followed":[155],"by":[156],"\u2018No\u2019":[159],"\u2018Tolong\u2019,":[161],"respectively.":[162],"observation":[164],"achieved":[166],"using":[167],"Ensemble":[169],"Bagged":[170],"Trees":[171],"classifier,":[172],"which":[173],"with":[177],"99%":[178],"accuracy":[179,184],"100%":[183],"testing.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
