{"id":"https://openalex.org/W2593679477","doi":"https://doi.org/10.1109/acssc.2016.7869163","title":"Models for objective evaluation of dysarthric speech from data annotated by multiple listeners","display_name":"Models for objective evaluation of dysarthric speech from data annotated by multiple listeners","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2593679477","doi":"https://doi.org/10.1109/acssc.2016.7869163","mag":"2593679477"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2016.7869163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","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/A5102334100","display_name":"Ming Tu","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":true,"raw_author_name":"Ming Tu","raw_affiliation_strings":["Department of Speech and Hearing Science, Arizona State University"],"affiliations":[{"raw_affiliation_string":"Department of Speech and Hearing Science, Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109394386","display_name":"Yishan Jiao","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":"Yishan Jiao","raw_affiliation_strings":["Department of Speech and Hearing Science, Arizona State University"],"affiliations":[{"raw_affiliation_string":"Department of Speech and Hearing Science, Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021646973","display_name":"Visar Berisha","orcid":"https://orcid.org/0000-0001-8804-8874"},"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":"Visar Berisha","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056934840","display_name":"Julie Liss","orcid":"https://orcid.org/0000-0001-8782-2901"},"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":"Julie M. Liss","raw_affiliation_strings":["Department of Speech and Hearing Science, Arizona State University"],"affiliations":[{"raw_affiliation_string":"Department of Speech and Hearing Science, Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102334100"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":1.2609,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8221984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"827","last_page":"830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9995999932289124,"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/T10863","display_name":"Voice and Speech Disorders","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7516474723815918},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.7247477769851685},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6348475813865662},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.48712706565856934},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47924211621284485},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.47583746910095215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4589487314224243},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4498790502548218},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44438794255256653},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1540529429912567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516474723815918},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7247477769851685},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6348475813865662},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.48712706565856934},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47924211621284485},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.47583746910095215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4589487314224243},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4498790502548218},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44438794255256653},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1540529429912567},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2016.7869163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6399999856948853,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1556232364","https://openalex.org/W1970381522","https://openalex.org/W1999906512","https://openalex.org/W2000149402","https://openalex.org/W2056500762","https://openalex.org/W2081318766","https://openalex.org/W2112687534","https://openalex.org/W2132903577","https://openalex.org/W2134305421","https://openalex.org/W2154096410","https://openalex.org/W2158630797","https://openalex.org/W2185757438","https://openalex.org/W2292984643","https://openalex.org/W2394644802","https://openalex.org/W2398795387","https://openalex.org/W2404535984","https://openalex.org/W2555370706","https://openalex.org/W2629688186","https://openalex.org/W4210694145","https://openalex.org/W6679959949","https://openalex.org/W6682471470","https://openalex.org/W6713012417"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2329812990","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W2998542275"],"abstract_inverted_index":{"In":[0,52,83],"subjective":[1,49,66],"evaluation":[2,47],"of":[3,48,75,94,108],"dysarthric":[4,112],"speech,":[5],"the":[6,73,92,95,103],"inter-rater":[7],"agreement":[8],"between":[9],"clinicians":[10,16],"can":[11],"be":[12],"low.":[13],"Disagreement":[14],"among":[15],"results":[17],"from":[18,68],"differences":[19],"in":[20,37],"their":[21],"perceptual":[22],"assessment":[23],"abilities,":[24],"familiarization":[25],"with":[26],"a":[27,57,79,106,111],"client,":[28],"clinical":[29],"experiences,":[30],"etc.":[31],"Recently,":[32],"there":[33],"has":[34],"been":[35],"interest":[36],"developing":[38],"signal":[39],"processing":[40],"and":[41,71,115],"machine":[42,80],"learning":[43,81],"models":[44,91],"for":[45],"objective":[46],"speech":[50,113],"quality.":[51],"this":[53,62],"paper,":[54],"we":[55],"propose":[56],"new":[58],"method":[59,119],"to":[60,85],"address":[61],"problem":[63],"by":[64],"collecting":[65],"ratings":[67],"multiple":[69],"evaluators":[70,99],"modeling":[72],"reliability":[74],"each":[76],"annotator":[77],"within":[78],"framework.":[82],"contrast":[84],"previous":[86],"work,":[87],"our":[88,118],"model":[89,104],"explicitly":[90],"dependence":[93],"speaker":[96],"on":[97,105,110],"an":[98],"reliability.":[100],"We":[101],"evaluate":[102],"series":[107],"experiments":[109],"database":[114],"show":[116],"that":[117],"outperforms":[120],"other":[121],"similar":[122],"approaches.":[123]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
