{"id":"https://openalex.org/W3012056610","doi":"https://doi.org/10.1117/12.2548991","title":"Identifying the common and subject-speci\ufb01c functional units of speech movements via a joint sparse non-negative matrix factorization framework","display_name":"Identifying the common and subject-speci\ufb01c functional units of speech movements via a joint sparse non-negative matrix factorization framework","publication_year":2020,"publication_date":"2020-03-10","ids":{"openalex":"https://openalex.org/W3012056610","doi":"https://doi.org/10.1117/12.2548991","mag":"3012056610"},"language":"en","primary_location":{"id":"doi:10.1117/12.2548991","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Processing","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/A5101491780","display_name":"Jonghye Woo","orcid":"https://orcid.org/0000-0002-5621-9218"},"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/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonghye Woo","raw_affiliation_strings":["Harvard Medical School (United States)","Massachusetts General Hospital (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard Medical School (United States)","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Massachusetts General Hospital (United States)","institution_ids":["https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007259734","display_name":"Fangxu Xing","orcid":"https://orcid.org/0000-0002-0517-0952"},"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/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fangxu Xing","raw_affiliation_strings":["Harvard MedicalSchool (United States)","Massachusetts General Hospital (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard MedicalSchool (United States)","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Massachusetts General Hospital (United States)","institution_ids":["https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066682675","display_name":"Jerry L. Prince","orcid":"https://orcid.org/0000-0002-6553-0876"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jerry L. Prince","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109307699","display_name":"Maureen Stone","orcid":null},"institutions":[{"id":"https://openalex.org/I116545467","display_name":"University of Mary","ror":"https://ror.org/055f0jp24","country_code":"US","type":"education","lineage":["https://openalex.org/I116545467"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maureen Stone","raw_affiliation_strings":["Univ. of Maryland School of Dentistry (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Maryland School of Dentistry (United States)","institution_ids":["https://openalex.org/I116545467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058866509","display_name":"Timothy G. Reese","orcid":"https://orcid.org/0000-0002-8528-3390"},"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/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy Reese","raw_affiliation_strings":["Harvard Medical School (United States)","Massachusetts General Hospital (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard Medical School (United States)","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Massachusetts General Hospital (United States)","institution_ids":["https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111836802","display_name":"Van J. Wedeen","orcid":null},"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/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Van Wedeen","raw_affiliation_strings":["Harvard Medical School (United States)","Massachusetts General Hospital (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard Medical School (United States)","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Massachusetts General Hospital (United States)","institution_ids":["https://openalex.org/I4210087915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053436378","display_name":"Georges El Fakhri","orcid":"https://orcid.org/0000-0002-9005-6993"},"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/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georges El Fakhri","raw_affiliation_strings":["Harvard Medical School (United States)","Massachusetts General Hospital (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard Medical School (United States)","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Massachusetts General Hospital (United States)","institution_ids":["https://openalex.org/I4210087915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7767,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70627954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9866999983787537,"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":0.9866999983787537,"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/T10860","display_name":"Speech and Audio Processing","score":0.9749000072479248,"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":0.9420999884605408,"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/weighting","display_name":"Weighting","score":0.6807911396026611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6668457984924316},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6309225559234619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5519400238990784},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5361238718032837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5039209723472595},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4278353452682495},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4098026156425476}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6807911396026611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6668457984924316},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6309225559234619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5519400238990784},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5361238718032837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5039209723472595},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4278353452682495},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4098026156425476},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2548991","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840","https://openalex.org/W2146544734"],"abstract_inverted_index":{"The":[0],"tongue":[1,43,118,196,218],"is":[2,76,104,137,164,203],"capable":[3],"of":[4,9,12,64,70,89,143,217],"producing":[5],"intelligible":[6],"speech":[7,95],"because":[8],"successful":[10],"orchestration":[11],"muscle":[13,39],"groupings\u2014":[14],"i.e.,":[15],"functional":[16,32,65,84,113,178,186,211],"units\u2014of":[17],"the":[18,26,60,68,93,109,117,168,176,184,207],"highly":[19],"complex":[20],"muscles":[21],"over":[22],"time.":[23],"Due":[24],"to":[25,41,52,56,78,106,167,174,205],"different":[27],"motions":[28],"that":[29,200],"tongues":[30],"produce,":[31],"units":[33,66,85,114,179,187,212],"are":[34],"transitional":[35],"structures":[36],"which":[37,139],"transform":[38],"activity":[40],"surface":[42],"geometry":[44],"and":[45,58,62,82,111,146,170,183,209],"they":[46],"vary":[47],"significantly":[48],"from":[49,154,158],"one":[50],"subject":[51,182],"another.":[53],"In":[54,97],"order":[55],"compare":[57],"contrast":[59],"location":[61],"size":[63,215],"in":[67,86,116,194],"presence":[69],"such":[71],"substantial":[72],"inter-person":[73],"variability,":[74],"it":[75],"essential":[77],"study":[79],"both":[80],"common":[81,110,151,171,185,208],"subject-specific":[83,112,147,169,177,210],"a":[87,100,130,141],"group":[88],"people":[90],"carrying":[91],"out":[92],"same":[94],"task.":[96],"this":[98],"work,":[99],"new":[101],"normalization":[102],"technique":[103,163],"presented":[105],"simultaneously":[107],"identify":[108,206],"defined":[115],"when":[119],"tracked":[120],"by":[121],"tagged":[122],"magnetic":[123],"resonance":[124],"imaging.":[125],"To":[126],"achieve":[127],"our":[128,201],"goal,":[129],"joint":[131],"sparse":[132],"non-negative":[133],"matrix":[134],"factorization":[135],"framework":[136],"used,":[138],"learns":[140],"set":[142],"building":[144],"blocks":[145],"as":[148,150],"well":[149],"weighting":[152,172],"matrices":[153,173],"motion":[155,197,219],"quantities":[156],"extracted":[157],"displacements.":[159],"A":[160],"spectral":[161],"clustering":[162],"then":[165],"applied":[166],"determine":[175],"for":[180],"each":[181],"across":[188],"subjects.":[189],"Our":[190],"experimental":[191],"results":[192],"using":[193],"vivo":[195],"data":[198],"show":[199],"approach":[202],"able":[204],"with":[213],"reduced":[214],"variability":[216],"during":[220],"speech.":[221]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}