{"id":"https://openalex.org/W4393656432","doi":"https://doi.org/10.1109/o-cocosda60357.2023.10482956","title":"Analysis and Classification of Dysarthric Speech","display_name":"Analysis and Classification of Dysarthric Speech","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4393656432","doi":"https://doi.org/10.1109/o-cocosda60357.2023.10482956"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda60357.2023.10482956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5113159882","display_name":"Vartika Tyagi","orcid":"https://orcid.org/0009-0007-5183-264X"},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vartika Tyagi","raw_affiliation_strings":["IT Dept., Indira Gandhi Delhi Technical University for Women, Delhi, India"],"affiliations":[{"raw_affiliation_string":"IT Dept., Indira Gandhi Delhi Technical University for Women, Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022991626","display_name":"Amita Dev","orcid":"https://orcid.org/0000-0002-6926-9433"},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amita Dev","raw_affiliation_strings":["IT Dept., Indira Gandhi Delhi Technical University for Women, Delhi, India"],"affiliations":[{"raw_affiliation_string":"IT Dept., Indira Gandhi Delhi Technical University for Women, Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102886753","display_name":"Poonam Bansal","orcid":"https://orcid.org/0000-0002-8214-2840"},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Poonam Bansal","raw_affiliation_strings":["Indira Gandhi Delhi Technical University for Women,AI & DS Dept.,Delhi,India"],"affiliations":[{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women,AI & DS Dept.,Delhi,India","institution_ids":["https://openalex.org/I4210143260"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.97,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.97,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9699,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dysarthria","display_name":"Dysarthria","score":0.4895159}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.67240965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64682865},{"id":"https://openalex.org/C2777639682","wikidata":"https://www.wikidata.org/wiki/Q225957","display_name":"Dysarthria","level":2,"score":0.4895159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33342183},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3317144},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.084246874},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.052784503}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda60357.2023.10482956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W2904673831","https://openalex.org/W2963701934","https://openalex.org/W3004503465","https://openalex.org/W3015342653","https://openalex.org/W3092017475","https://openalex.org/W3120067823","https://openalex.org/W3127424476","https://openalex.org/W3140501190","https://openalex.org/W3157063407","https://openalex.org/W3159873641","https://openalex.org/W3161873458","https://openalex.org/W3174329270","https://openalex.org/W3209110707","https://openalex.org/W3215701596","https://openalex.org/W4221162789","https://openalex.org/W4297030419","https://openalex.org/W4323315382","https://openalex.org/W4385215764"],"related_works":["https://openalex.org/W4239608382","https://openalex.org/W3204019825","https://openalex.org/W3160456149","https://openalex.org/W2969484279","https://openalex.org/W2748952813","https://openalex.org/W2517018229","https://openalex.org/W2351669973","https://openalex.org/W2331173358","https://openalex.org/W2329762060","https://openalex.org/W2168872498"],"abstract_inverted_index":{"Classifying":[0],"dysarthria":[1],"using":[2],"neural":[3],"networks":[4],"is":[5,33,42,47,121],"challenging":[6,34],"due":[7],"to":[8,12,70,115],"several":[9],"factors":[10],"inherent":[11],"the":[13,17,23,40,76,83,103,107,116,131],"nature":[14],"of":[15,19,25,65,109],"dysarthria,":[16,98],"complexity":[18],"speech":[20,31,61,111],"signals,":[21],"and":[22,44,74],"requirements":[24],"effective":[26],"machine":[27],"learning":[28],"models.":[29],"Impaired":[30],"classification":[32,108],"for":[35,134],"two":[36,55],"main":[37],"reasons:":[38],"firstly,":[39],"data":[41],"scarce,":[43],"secondly,":[45],"it":[46],"heterogeneous.":[48],"In":[49],"this":[50,135],"paper,":[51],"we":[52],"have":[53,129],"trained":[54],"different":[56],"architectures":[57],"on":[58],"a":[59,92,99],"dysarthric":[60],"database.":[62,94],"A":[63],"comparison":[64],"results":[66],"shows":[67],"that":[68,124],"according":[69],"precision,":[71],"recall,":[72],"f1-score,":[73],"accuracy,":[75],"Deep":[77],"Neural":[78,86],"Network":[79,87],"(DNN)":[80],"model":[81],"outperforms":[82],"classical":[84,117],"Convolutional":[85],"(CNN)":[88],"model,":[89],"even":[90],"with":[91,97],"small":[93],"For":[95],"people":[96],"DNN":[100],"can":[101],"improve":[102],"performance":[104],"metrics":[105],"during":[106],"impaired":[110],"by":[112,126],"99%":[113],"compared":[114],"architecture.":[118],"This":[119],"improvement":[120],"more":[122],"than":[123],"provided":[125],"CNN.":[127],"We":[128],"used":[130],"TORGO":[132],"database":[133],"work.":[136]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4393656432","counts_by_year":[],"updated_date":"2025-01-04T03:29:43.800478","created_date":"2024-04-03"}