{"id":"https://openalex.org/W3117807895","doi":"https://doi.org/10.23919/eusipco47968.2020.9287502","title":"Weak Speech Supervision: A case study of Dysarthria Severity Classification","display_name":"Weak Speech Supervision: A case study of Dysarthria Severity Classification","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3117807895","doi":"https://doi.org/10.23919/eusipco47968.2020.9287502","mag":"3117807895"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco47968.2020.9287502","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","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/A5091764885","display_name":"Mirali Purohit","orcid":"https://orcid.org/0009-0009-0354-4920"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mirali Purohit","raw_affiliation_strings":["Speech Research Lab, DA-IICT, Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Research Lab, DA-IICT, Gandhinagar, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063582658","display_name":"Mihir Parmar","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihir Parmar","raw_affiliation_strings":["Arizona State University, Tempe, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018555559","display_name":"Maitreya Patel","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Maitreya Patel","raw_affiliation_strings":["Speech Research Lab, DA-IICT, Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Research Lab, DA-IICT, Gandhinagar, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037317140","display_name":"Harshit Malaviya","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harshit Malaviya","raw_affiliation_strings":["Speech Research Lab, DA-IICT, Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Research Lab, DA-IICT, Gandhinagar, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059996963","display_name":"Hemant A. Patii","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hemant A. Patii","raw_affiliation_strings":["Speech Research Lab, DA-IICT, Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Research Lab, DA-IICT, Gandhinagar, India","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.23,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53015128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"abs 1506 1195","issue":null,"first_page":"101","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9983999729156494,"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":0.9983999729156494,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9966999888420105,"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/T11309","display_name":"Music and Audio Processing","score":0.9957000017166138,"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/dysarthria","display_name":"Dysarthria","score":0.8496196269989014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7828009724617004},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7173594832420349},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6542588472366333},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.6480072736740112},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.6376224160194397},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6326997876167297},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5605230331420898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49764421582221985},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4790119528770447},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3628154993057251},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3347412943840027},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1949704885482788}],"concepts":[{"id":"https://openalex.org/C2777639682","wikidata":"https://www.wikidata.org/wiki/Q225957","display_name":"Dysarthria","level":2,"score":0.8496196269989014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828009724617004},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7173594832420349},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6542588472366333},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.6480072736740112},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.6376224160194397},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6326997876167297},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5605230331420898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49764421582221985},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4790119528770447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3628154993057251},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3347412943840027},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1949704885482788},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco47968.2020.9287502","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W180052447","https://openalex.org/W1598605393","https://openalex.org/W1604644367","https://openalex.org/W1971243715","https://openalex.org/W1994550352","https://openalex.org/W2035727744","https://openalex.org/W2042402023","https://openalex.org/W2061863227","https://openalex.org/W2095660652","https://openalex.org/W2107570013","https://openalex.org/W2107598941","https://openalex.org/W2113290770","https://openalex.org/W2117173982","https://openalex.org/W2122052811","https://openalex.org/W2150588363","https://openalex.org/W2169336678","https://openalex.org/W2169563681","https://openalex.org/W2170989440","https://openalex.org/W2187013920","https://openalex.org/W2295406225","https://openalex.org/W2403170434","https://openalex.org/W2403339321","https://openalex.org/W2466758040","https://openalex.org/W2523246573","https://openalex.org/W2572561003","https://openalex.org/W2591700809","https://openalex.org/W2657285084","https://openalex.org/W2744046280","https://openalex.org/W2769041395","https://openalex.org/W2888807255","https://openalex.org/W2889248063","https://openalex.org/W2933389261","https://openalex.org/W2959716049","https://openalex.org/W2972838300","https://openalex.org/W2982534039","https://openalex.org/W4313371817","https://openalex.org/W6607307618","https://openalex.org/W6635712747","https://openalex.org/W6677082149","https://openalex.org/W6677421929","https://openalex.org/W6677993624","https://openalex.org/W6682297019","https://openalex.org/W6686674283","https://openalex.org/W6712897104","https://openalex.org/W6713023635","https://openalex.org/W6727249380","https://openalex.org/W6731828207"],"related_works":["https://openalex.org/W2130553454","https://openalex.org/W3022007134","https://openalex.org/W4317548404","https://openalex.org/W3104108945","https://openalex.org/W2033364610","https://openalex.org/W3163689946","https://openalex.org/W2797776314","https://openalex.org/W2153927146","https://openalex.org/W2091066410","https://openalex.org/W3117807895"],"abstract_inverted_index":{"Machine":[0],"Learning":[1],"methodologies":[2],"are":[3],"making":[4],"a":[5,21,74,82,141],"remarkable":[6],"contribution,":[7],"and":[8,66,184,192],"yielding":[9],"state-of-the-art":[10,90],"results":[11],"in":[12,31,188],"different":[13],"speech":[14,36,62],"domains.":[15],"With":[16],"this":[17,115,122],"exceptionally":[18],"significant":[19],"achievement,":[20],"large":[22],"amount":[23],"of":[24,34,121,129,134,167,190],"labeled":[25,60],"data":[26,44,59,108,145,154],"is":[27,45,51,64,171],"the":[28,32,110,119,126,130,152,168],"largest":[29],"bottleneck":[30],"deployment":[33],"these":[35,70],"systems.":[37],"To":[38,68],"generate":[39,106],"massive":[40],"data,":[41],"hand-labeling":[42,94],"training":[43,95,112],"an":[46,181],"intensively":[47],"laborious":[48],"task.":[49],"This":[50],"problematic":[52],"for":[53],"clinical":[54],"applications":[55],"where":[56],"obtaining":[57],"such":[58],"by":[61],"pathologists":[63],"expensive":[65],"time-consuming.":[67],"overcome":[69],"problems,":[71],"we":[72,117,139],"introduce":[73],"new":[75],"paradigm":[76],"called":[77],"Weak":[78],"Speech":[79],"Supervision":[80],"(WSS),":[81],"first-of-its-kind":[83],"system":[84],"that":[85],"helps":[86],"users":[87],"to":[88,105,159],"train":[89,140],"classification":[91,133],"models":[92],"without":[93],"data.":[96],"Users":[97],"can":[98],"write":[99],"labeling":[100],"functions":[101],"(i.e.,":[102],"weak":[103,107,153,157],"rules)":[104],"from":[109],"unlabeled":[111],"set.":[113],"In":[114,137],"paper,":[116],"provide":[118],"efficiency":[120],"methodology":[123,170],"via":[124,150],"showing":[125],"case":[127],"study":[128],"severity-based":[131],"binary":[132],"dysarthric":[135],"speech.":[136],"WSS,":[138],"classifier":[142,162],"on":[143,173,180],"trusted":[144],"(labeled":[146,155],"with":[147],"100%":[148],"accuracy)":[149],"utilizing":[151],"using":[156],"supervision)":[158],"make":[160],"our":[161],"model":[163],"more":[164],"efficient.":[165],"Analysis":[166],"proposed":[169],"performed":[172],"Universal":[174],"Access":[175],"(UA)":[176],"corpus.":[177],"We":[178],"got":[179],"average":[182],"35.68%":[183],"43.83%":[185],"relative":[186],"improvement":[187],"terms":[189],"accuracy":[191],"F1-score":[193],"w.r.t.":[194],"baselines,":[195],"respectively.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
