{"id":"https://openalex.org/W4221152139","doi":"https://doi.org/10.21437/interspeech.2022-36","title":"Interpretable dysarthric speaker adaptation based on optimal-transport","display_name":"Interpretable dysarthric speaker adaptation based on optimal-transport","publication_year":2022,"publication_date":"2022-09-16","ids":{"openalex":"https://openalex.org/W4221152139","doi":"https://doi.org/10.21437/interspeech.2022-36"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2022-36","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-36","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2022","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2203.07143","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041990349","display_name":"Rosanna Turrisi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rosanna Turrisi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5063165262","display_name":"Leonardo Badino","orcid":"https://orcid.org/0000-0001-7037-5914"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leonardo Badino","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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":0.02065404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.8984000086784363,"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":0.8984000086784363,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.030400000512599945,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.019700000062584877,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dysarthria","display_name":"Dysarthria","score":0.7983726263046265},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.744630753993988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7029032111167908},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6413264870643616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45882630348205566},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4502618908882141},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4184550642967224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3364609181880951},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10954311490058899}],"concepts":[{"id":"https://openalex.org/C2777639682","wikidata":"https://www.wikidata.org/wiki/Q225957","display_name":"Dysarthria","level":2,"score":0.7983726263046265},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.744630753993988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029032111167908},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6413264870643616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45882630348205566},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4502618908882141},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4184550642967224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3364609181880951},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10954311490058899},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.21437/interspeech.2022-36","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-36","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2022","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2203.07143","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.07143","pdf_url":"https://arxiv.org/pdf/2203.07143","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:sfera.unife.it:11392/2573912","is_oa":false,"landing_page_url":"https://hdl.handle.net/11392/2573912","pdf_url":null,"source":{"id":"https://openalex.org/S4306400369","display_name":"Institutional Research Information System University of Ferrara (University of Ferrara)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201324441","host_organization_name":"University of Ferrara","host_organization_lineage":["https://openalex.org/I201324441"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2203.07143","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2203.07143","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2203.07143","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.07143","pdf_url":"https://arxiv.org/pdf/2203.07143","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1243554","https://openalex.org/W816280","https://openalex.org/W9022867","https://openalex.org/W10064791","https://openalex.org/W13618705","https://openalex.org/W12391643","https://openalex.org/W6456089","https://openalex.org/W5052411","https://openalex.org/W6596615","https://openalex.org/W15477619"],"abstract_inverted_index":{"This":[0,174],"work":[1],"addresses":[2],"the":[3,7,18,79,83,91,130,133,146,149,153,160,164,188],"mismatch":[4],"problem":[5],"between":[6,129,148],"distribution":[8],"of":[9,21,74,90,141,163],"training":[10,181],"data":[11,15,36],"(source)":[12],"and":[13,76,82,132,152,182],"testing":[14],"(target),":[16],"in":[17,31,113,139,187],"challenging":[19],"context":[20],"dysarthric":[22],"speech":[23,33,142],"recognition.":[24],"We":[25,66],"focus":[26],"on":[27,56,145],"Speaker":[28],"Adaptation":[29,52],"(SA)":[30],"command":[32],"recognition,":[34],"where":[35],"from":[37,97],"multiple":[38,41],"sources":[39],"(i.e.,":[40],"speakers)":[42],"are":[43],"available.":[44],"Specifically,":[45],"we":[46,157,168],"propose":[47],"an":[48,105],"unsupervised":[49],"Multi-Source":[50],"Domain":[51],"(MSDA)":[53],"algorithm":[54],"based":[55],"optimal-transport,":[57],"called":[58],"MSDA":[59],"via":[60],"Weighted":[61],"Joint":[62],"Optimal":[63],"Transport":[64],"(MSDA-WJDOT).":[65],"achieve":[67],"a":[68,126,184],"Command":[69],"Error":[70],"Rate":[71],"relative":[72],"reduction":[73],"16%":[75],"7%":[77],"over":[78],"speaker-independent":[80],"model":[81,107],"best":[84],"competitor":[85],"method,":[86,102],"respectively.":[87],"The":[88],"strength":[89],"proposed":[92],"approach":[93,175],"is":[94],"that,":[95],"differently":[96],"any":[98,120,179],"other":[99],"existing":[100],"SA":[101],"it":[103,124],"offers":[104],"interpretable":[106],"that":[108,167],"can":[109],"also":[110],"be":[111],"exploited,":[112],"this":[114],"context,":[115],"to":[116,170],"diagnose":[117],"dysarthria":[118,172,189],"without":[119],"specific":[121],"training.":[122],"Indeed,":[123],"provides":[125],"closeness":[127],"measure":[128],"target":[131,150,165],"source":[134,155],"speakers,":[135,156],"reflecting":[136],"their":[137],"similarity":[138,147],"terms":[140],"characteristics.":[143],"Based":[144],"speaker":[151,166],"healthy/dysarthric":[154,161],"then":[158],"define":[159],"score":[162],"leverage":[169],"perform":[171],"detection.":[173],"does":[176],"not":[177],"require":[178],"additional":[180],"achieves":[183],"95%":[185],"accuracy":[186],"diagnosis.":[190]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-04-03T00:00:00"}
