{"id":"https://openalex.org/W4296070380","doi":"https://doi.org/10.21437/interspeech.2022-11038","title":"Contribution of the glottal flow residual in affect-related voice transformation","display_name":"Contribution of the glottal flow residual in affect-related voice transformation","publication_year":2022,"publication_date":"2022-09-16","ids":{"openalex":"https://openalex.org/W4296070380","doi":"https://doi.org/10.21437/interspeech.2022-11038"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2022-11038","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-11038","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2262/102035","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100380105","display_name":"Zihan Wang","orcid":"https://orcid.org/0000-0002-9361-9237"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Zihan Wang","raw_affiliation_strings":["Phonetics and Speech Laboratory School of Linguistic, Speech and Communication Sciences Trinity College Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Phonetics and Speech Laboratory School of Linguistic, Speech and Communication Sciences Trinity College Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029071500","display_name":"Christer Gobl","orcid":"https://orcid.org/0000-0002-5958-3891"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Christer Gobl","raw_affiliation_strings":["Phonetics and Speech Laboratory School of Linguistic, Speech and Communication Sciences Trinity College Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Phonetics and Speech Laboratory School of Linguistic, Speech and Communication Sciences Trinity College Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205274468"],"apc_list":null,"apc_paid":null,"fwci":1.9348,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86506024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5288","last_page":"5292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991999864578247,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7938214540481567},{"id":"https://openalex.org/keywords/naturalness","display_name":"Naturalness","score":0.7242496013641357},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6040554642677307},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5927810072898865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5414445996284485},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.5283499360084534},{"id":"https://openalex.org/keywords/inverse-filter","display_name":"Inverse filter","score":0.50309818983078},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5020623207092285},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4425254464149475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36146116256713867},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.3082547187805176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16202858090400696},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10726317763328552}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7938214540481567},{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.7242496013641357},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6040554642677307},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5927810072898865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5414445996284485},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5283499360084534},{"id":"https://openalex.org/C2779948431","wikidata":"https://www.wikidata.org/wiki/Q17092649","display_name":"Inverse filter","level":3,"score":0.50309818983078},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5020623207092285},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4425254464149475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36146116256713867},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.3082547187805176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16202858090400696},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10726317763328552},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2022-11038","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-11038","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:tara.tcd.ie:2262/102035","is_oa":true,"landing_page_url":"http://hdl.handle.net/2262/102035","pdf_url":null,"source":{"id":"https://openalex.org/S4306400387","display_name":"Trinity's Access to Research Output (TARA) (Trinity College Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205274468","host_organization_name":"Trinity College Dublin","host_organization_lineage":["https://openalex.org/I205274468"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:tara.tcd.ie:2262/102035","is_oa":true,"landing_page_url":"http://hdl.handle.net/2262/102035","pdf_url":null,"source":{"id":"https://openalex.org/S4306400387","display_name":"Trinity's Access to Research Output (TARA) (Trinity College Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205274468","host_organization_name":"Trinity College Dublin","host_organization_lineage":["https://openalex.org/I205274468"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320317885","display_name":"Department of Tourism, Culture, Arts, Gaeltacht, Sport and Media","ror":null},{"id":"https://openalex.org/F4320327443","display_name":"Department of Tourism and Culture","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W132352703","https://openalex.org/W169745891","https://openalex.org/W192280404","https://openalex.org/W1605956270","https://openalex.org/W1968110980","https://openalex.org/W1977289691","https://openalex.org/W2065925624","https://openalex.org/W2088952704","https://openalex.org/W2089252954","https://openalex.org/W2167002006","https://openalex.org/W2169721396","https://openalex.org/W2292305495","https://openalex.org/W2293259311","https://openalex.org/W2394962911","https://openalex.org/W2593401739","https://openalex.org/W2748847782","https://openalex.org/W2936592673","https://openalex.org/W2981666567","https://openalex.org/W3116535862","https://openalex.org/W3178729399","https://openalex.org/W3198712557","https://openalex.org/W4301202368","https://openalex.org/W4390926618"],"related_works":["https://openalex.org/W2032545456","https://openalex.org/W2519308303","https://openalex.org/W2164337822","https://openalex.org/W1920600732","https://openalex.org/W2089752644","https://openalex.org/W4378218936","https://openalex.org/W2356310691","https://openalex.org/W1998983097","https://openalex.org/W2736083092","https://openalex.org/W2617912180"],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"the":[3,6,19,22,25,29,34,46,49,56,69,75,88,95,104,119,124,130,143,159,165,169,171,174],"contribution":[4],"of":[5,24,48,55,123,138,145,168],"glottal":[7,30,76,89,160],"flow":[8,31,161],"residual":[9,50,70,96,120,162],"in":[10,68,106,133],"affect-related":[11],"voice":[12,111,125,131,148],"transformation.This":[13,112],"signal,":[14,37],"which":[15,99],"is":[16,62,71,97],"defined":[17],"as":[18,52,121],"difference":[20],"between":[21],"output":[23],"inverse":[26],"filter":[27],"estimating":[28],"signal":[32,127],"and":[33,59],"modelled":[35],"source":[36,57,107,126],"was":[38],"analysed":[39],"using":[40],"multiple":[41],"regression":[42],"analysis.Results":[43],"show":[44],"that":[45,157,173,182],"strength":[47],"varies":[51],"a":[53,139,146,153],"function":[54],"parameters":[58,108],"this":[60],"variation":[61],"frequency":[63,66],"dependent:":[64],"low":[65],"energy":[67],"mainly":[72],"determined":[73],"by":[74,87],"excitation":[77],"strength,":[78],"whereas":[79],"mid":[80],"to":[81,117,149,187],"high":[82],"frequencies":[83],"are":[84,177],"more":[85],"influenced":[86],"pulse":[90],"shape.A":[91],"method":[92,113],"for":[93,110],"modelling":[94],"presented,":[98],"enables":[100],"modifications":[101],"based":[102],"on":[103],"changes":[105],"used":[109],"makes":[114],"it":[115],"possible":[116],"use":[118],"part":[122],"when":[128],"transforming":[129],"quality":[132],"expressive":[134],"speech":[135],"synthesis.The":[136],"result":[137],"listening":[140],"test,":[141],"involving":[142],"transformation":[144],"neutral":[147],"an":[150],"angry":[151],"or":[152],"sad":[154],"voice,":[155],"shows":[156],"including":[158],"can":[163],"improve":[164],"perceived":[166],"naturalness":[167],"synthesis.However,":[170],"fact":[172],"transformed":[175],"utterances":[176],"still":[178],"relatively":[179],"degraded":[180],"indicates":[181],"other":[183],"factors":[184],"also":[185],"need":[186],"be":[188],"considered.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2022-09-17T00:00:00"}
