{"id":"https://openalex.org/W4372262996","doi":"https://doi.org/10.1109/icassp49357.2023.10095140","title":"Feature Selection and Text Embedding for Detecting Dementia from Spontaneous Cantonese","display_name":"Feature Selection and Text Embedding for Detecting Dementia from Spontaneous Cantonese","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372262996","doi":"https://doi.org/10.1109/icassp49357.2023.10095140"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095140","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100698600","display_name":"Xiaoquan Ke","orcid":"https://orcid.org/0000-0002-6976-6122"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaoquan Ke","raw_affiliation_strings":["The Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068768998","display_name":"Man\u2010Wai Mak","orcid":"https://orcid.org/0000-0001-8854-3760"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Man-Wai Mak","raw_affiliation_strings":["The Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102225156","display_name":"Helen Meng","orcid":"https://orcid.org/0000-0002-4427-3532"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Helen M. Meng","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9825000166893005,"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/T12488","display_name":"Mental Health via Writing","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7185606360435486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7098137140274048},{"id":"https://openalex.org/keywords/dementia","display_name":"Dementia","score":0.6765270233154297},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6270900964736938},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.59982830286026},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5130788087844849},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5088363289833069},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5074064135551453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5010058879852295},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4779367744922638},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43174493312835693},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08660286664962769},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07430154085159302}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7185606360435486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098137140274048},{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.6765270233154297},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6270900964736938},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.59982830286026},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5130788087844849},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5088363289833069},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5074064135551453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5010058879852295},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4779367744922638},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43174493312835693},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08660286664962769},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07430154085159302},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095140","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W147964346","https://openalex.org/W1997994949","https://openalex.org/W2015514982","https://openalex.org/W2085662862","https://openalex.org/W2095176743","https://openalex.org/W2143017621","https://openalex.org/W2239141610","https://openalex.org/W2896457183","https://openalex.org/W2925077947","https://openalex.org/W2991435809","https://openalex.org/W3016249629","https://openalex.org/W3030437843","https://openalex.org/W3036601975","https://openalex.org/W3209059054","https://openalex.org/W4220722971","https://openalex.org/W6755207826","https://openalex.org/W6771467084","https://openalex.org/W6780218876"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W3119773509","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353"],"abstract_inverted_index":{"Dementia":[0],"is":[1],"a":[2,15,95],"severe":[3],"cognitive":[4],"impairment":[5],"that":[6,55,98,130],"affects":[7],"the":[8,34,42,58,105,119,124,132,136],"health":[9],"of":[10,44,63,101],"older":[11,102],"adults":[12,103],"and":[13,20,32,60,70,83,91],"creates":[14],"burden":[16],"on":[17],"their":[18],"families":[19],"caretakers.":[21],"This":[22],"paper":[23],"analyzes":[24],"diverse":[25],"hand-crafted":[26],"features":[27,69],"extracted":[28],"from":[29],"spoken":[30,64],"languages":[31],"selects":[33],"most":[35],"discriminative":[36],"ones":[37],"for":[38,75,93,123],"dementia":[39,45,76,142],"detection.":[40,77],"Recently,":[41],"performance":[43],"detection":[46,143],"has":[47],"been":[48],"significantly":[49],"improved":[50],"by":[51],"utilizing":[52],"Transformer-based":[53,68,125],"models":[54],"automatically":[56],"capture":[57],"structural":[59],"linguistic":[61],"properties":[62],"languages.":[65],"We":[66,78,108],"investigate":[67,109],"propose":[71],"an":[72],"end-to-end":[73],"system":[74],"also":[79],"explore":[80],"recent":[81],"ASR":[82],"representation":[84],"learning":[85],"frameworks,":[86],"such":[87],"as":[88],"Wav2vec":[89],"2.0":[90],"Hubert,":[92],"transcribing":[94],"Cantonese":[96],"corpus":[97],"contains":[99],"recordings":[100],"describing":[104],"rabbit":[106],"story.":[107],"using":[110,135],"disfluency":[111],"patterns":[112],"(DP)":[113],"in":[114],"spontaneous":[115],"speech":[116],"to":[117],"enhance":[118],"recognized":[120],"word":[121,138],"sequences":[122,139],"feature":[126,133],"extractor.":[127],"Results":[128],"show":[129],"fine-tuning":[131],"extractor":[134],"enhanced":[137],"can":[140],"improve":[141],"performance.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
