{"id":"https://openalex.org/W2508744244","doi":"https://doi.org/10.21437/interspeech.2016-292","title":"Neurophysiological Vocal Source Modeling for Biomarkers of Disease","display_name":"Neurophysiological Vocal Source Modeling for Biomarkers of Disease","publication_year":2016,"publication_date":"2016-08-28","ids":{"openalex":"https://openalex.org/W2508744244","doi":"https://doi.org/10.21437/interspeech.2016-292","mag":"2508744244"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2016-292","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/105453","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044014409","display_name":"Gregory Ciccarelli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory Ciccarelli","raw_affiliation_strings":["MIT Lincoln Laboratory, Lexington, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, Massachusetts, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009507416","display_name":"Thomas F. Quatieri","orcid":"https://orcid.org/0000-0003-1925-6340"},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas F. Quatieri","raw_affiliation_strings":["MIT Lincoln Laboratory, Lexington, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, Massachusetts, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051194003","display_name":"Satrajit Ghosh","orcid":"https://orcid.org/0000-0002-5312-6729"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satrajit S. Ghosh","raw_affiliation_strings":["Department of Otolaryngology, Harvard Medical School, Boston, Massachusetts, USA","Massachusetts Institute of Technology, Cambridge, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Otolaryngology, Harvard Medical School, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, Massachusetts, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7187,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88759927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1200","last_page":"1204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9997000098228455,"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":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9986000061035156,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.7675831317901611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6587410569190979},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44696730375289917},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33220165967941284},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2925996780395508},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15210232138633728}],"concepts":[{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.7675831317901611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587410569190979},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44696730375289917},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33220165967941284},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2925996780395508},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15210232138633728}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2016-292","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/105453","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/105453","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ghosh","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/105453","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/105453","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ghosh","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1875231349","https://openalex.org/W1976066595","https://openalex.org/W1985492960","https://openalex.org/W1986112602","https://openalex.org/W2000149402","https://openalex.org/W2040094574","https://openalex.org/W2056132907","https://openalex.org/W2058255766","https://openalex.org/W2081043513","https://openalex.org/W2084242110","https://openalex.org/W2084627109","https://openalex.org/W2090777335","https://openalex.org/W2098204469","https://openalex.org/W2101234009","https://openalex.org/W2114242438","https://openalex.org/W2155390087","https://openalex.org/W2170517798","https://openalex.org/W2248933053","https://openalex.org/W2296350496","https://openalex.org/W2398795387"],"related_works":["https://openalex.org/W2789919619","https://openalex.org/W2293457016","https://openalex.org/W1551406738","https://openalex.org/W2610387714","https://openalex.org/W2369308426","https://openalex.org/W1569841287","https://openalex.org/W1512718085","https://openalex.org/W2359001871","https://openalex.org/W2167662847","https://openalex.org/W1877285056"],"abstract_inverted_index":{"Speech":[0],"is":[1],"potentially":[2],"a":[3,42,89,92,98,120,142,177,191],"rich":[4],"source":[5,123,133,172],"of":[6,24,45,128,145,194],"biomarkers":[7,15,127],"for":[8],"detecting":[9],"and":[10,28,78,110,112,141,165,189],"monitoring":[11],"neuropsychological":[12,64],"disorders.":[13],"Current":[14],"typically":[16],"comprise":[17],"acoustic":[18,84],"descriptors":[19],"extracted":[20],"from":[21,91],"behavioral":[22],"measures":[23],"source,":[25,148],"filter,":[26],"prosodic":[27],"linguistic":[29],"cues.":[30],"In":[31,116],"contrast,":[32],"in":[33],"this":[34],"paper,":[35],"we":[36,118,149],"extract":[37],"vocal":[38,122,132,147,158,171],"features":[39,87,159,174,187],"based":[40],"on":[41,176],"neurocomputational":[43],"model":[44,124],"speech":[46],"production,":[47],"reflecting":[48],"latent":[49],"or":[50,182],"internal":[51],"motor":[52],"control":[53],"parameters":[54],"that":[55,101,125,160],"may":[56,73],"be":[57,74],"more":[58],"sensitive":[59],"to":[60,76,83,97,163,185],"individual":[61],"variation":[62],"under":[63],"disease.":[65],"These":[66,170],"features,":[67],"which":[68],"are":[69,161,183],"constrained":[70],"by":[71,130],"neurophysiology,":[72],"resilient":[75],"artifacts":[77],"provide":[79],"an":[80],"articulatory":[81,108],"complement":[82],"features.":[85],"Our":[86],"represent":[88],"mapping":[90],"low-dimensional":[93],"acoustics-based":[94],"feature":[95,196],"space":[96,100],"high-dimensional":[99],"captures":[102],"the":[103,137,146,195],"underlying":[104],"neural":[105],"process":[106],"including":[107],"commands":[109],"auditory":[111],"somatosensory":[113],"feedback":[114],"errors.":[115],"particular,":[117],"demonstrate":[119],"neurophysiological":[121],"generates":[126],"disease":[129,167],"modeling":[131],"control.":[134],"By":[135],"using":[136],"fundamental":[138],"frequency":[139],"contour":[140],"biophysical":[143],"representation":[144],"infer":[150],"two":[151],"neuromuscular":[152],"time":[153],"series":[154],"whose":[155],"coordination":[156,173],"provides":[157],"applied":[162],"depression":[164],"Parkinson\u2019s":[166],"as":[168],"examples.":[169],"alone,":[175],"single":[178],"held":[179],"vowel,":[180],"outperform":[181],"comparable":[184],"other":[186],"sets":[188],"reflect":[190],"significant":[192],"compression":[193],"space.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
