{"id":"https://openalex.org/W2748626862","doi":"https://doi.org/10.21437/interspeech.2017-1140","title":"Reshaping the Transformed LF Model: Generating the Glottal Source from the Waveshape Parameter Rd","display_name":"Reshaping the Transformed LF Model: Generating the Glottal Source from the Waveshape Parameter Rd","publication_year":2017,"publication_date":"2017-08-16","ids":{"openalex":"https://openalex.org/W2748626862","doi":"https://doi.org/10.21437/interspeech.2017-1140","mag":"2748626862"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2017-1140","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-1140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2262/92586","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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":true,"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":["https://openalex.org/A5029071500"],"corresponding_institution_ids":["https://openalex.org/I205274468"],"apc_list":null,"apc_paid":null,"fwci":0.2845,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59237098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3008","last_page":"3012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994999766349792,"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/T10863","display_name":"Voice and Speech Disorders","score":0.9990000128746033,"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/waveform","display_name":"Waveform","score":0.7454456090927124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5958170890808105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5138766765594482},{"id":"https://openalex.org/keywords/source-model","display_name":"Source model","score":0.49842286109924316},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.495566725730896},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.45598533749580383},{"id":"https://openalex.org/keywords/pulse-width-modulation","display_name":"Pulse-width modulation","score":0.4244707226753235},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41678762435913086},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.15411338210105896},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.107066810131073},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0848841667175293}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.7454456090927124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5958170890808105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5138766765594482},{"id":"https://openalex.org/C2985998994","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Source model","level":2,"score":0.49842286109924316},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.495566725730896},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.45598533749580383},{"id":"https://openalex.org/C92746544","wikidata":"https://www.wikidata.org/wiki/Q585184","display_name":"Pulse-width modulation","level":3,"score":0.4244707226753235},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41678762435913086},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.15411338210105896},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.107066810131073},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0848841667175293},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2017-1140","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-1140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","raw_type":"proceedings-article"},{"id":"pmh:http://www.rian.ie/188063/","is_oa":true,"landing_page_url":"http://hdl.handle.net/2262/92586","pdf_url":null,"source":{"id":"https://openalex.org/S4306400033","display_name":"Arrow@dit (Dublin Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115570527","host_organization_name":"Dublin Institute of Technology","host_organization_lineage":["https://openalex.org/I115570527"],"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":"Gobl, C., Reshaping the transformed LF model: generating the glottal source from the waveshape parameter Rd, INTERSPEECH 2017, Stockholm, Sweden, 2017, 3008 - 3012","raw_type":"Conference item"}],"best_oa_location":{"id":"pmh:http://www.rian.ie/188063/","is_oa":true,"landing_page_url":"http://hdl.handle.net/2262/92586","pdf_url":null,"source":{"id":"https://openalex.org/S4306400033","display_name":"Arrow@dit (Dublin Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115570527","host_organization_name":"Dublin Institute of Technology","host_organization_lineage":["https://openalex.org/I115570527"],"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":"Gobl, C., Reshaping the transformed LF model: generating the glottal source from the waveshape parameter Rd, INTERSPEECH 2017, Stockholm, Sweden, 2017, 3008 - 3012","raw_type":"Conference item"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W71084797","https://openalex.org/W117550895","https://openalex.org/W132352703","https://openalex.org/W160478717","https://openalex.org/W169745891","https://openalex.org/W194910697","https://openalex.org/W393849670","https://openalex.org/W1508242911","https://openalex.org/W1551134755","https://openalex.org/W1605956270","https://openalex.org/W1906989660","https://openalex.org/W2001975030","https://openalex.org/W2030764317","https://openalex.org/W2064077337","https://openalex.org/W2064990378","https://openalex.org/W2089252954","https://openalex.org/W2096810285","https://openalex.org/W2097613769","https://openalex.org/W2107449214","https://openalex.org/W2109138290","https://openalex.org/W2146665221","https://openalex.org/W2153738419","https://openalex.org/W2396922266","https://openalex.org/W2508429840","https://openalex.org/W2540285784"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2129841057","https://openalex.org/W2176409448","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2883092465","https://openalex.org/W2039489009"],"abstract_inverted_index":{"Precise":[0],"specification":[1],"of":[2,10,24,59,67,133,144],"the":[3,21,25,42,50,68,77,86,96,100,116,124,169,183,191],"voice":[4,29,60],"source":[5,30],"would":[6],"facilitate":[7],"better":[8],"modelling":[9],"expressive":[11],"nuances":[12],"in":[13,90],"human":[14],"spoken":[15],"interaction.":[16],"This":[17,180],"paper":[18],"focuses":[19],"on":[20,168],"transformed":[22,78],"version":[23],"widely":[26],"used":[27,83,93,127],"LF":[28,51,79,97,101,154],"model,":[31],"and":[32,57,131,189],"proposes":[33],"an":[34,110],"algorithm":[35,164,192],"which":[36,89],"makes":[37],"it":[38],"possible":[39,145],"to":[40,47,76,84,94,151,177],"use":[41],"wave":[43],"shape":[44],"parameter":[45,155],"Rd":[46,63,111,146,185,198],"directly":[48],"control":[49],"pulse,":[52],"for":[53,128,172,194],"more":[54],"effective":[55],"analysis":[56,130],"synthesis":[58],"modulations.":[61],"The":[62],"parameter,":[64],"capturing":[65],"much":[66],"natural":[69],"covariation":[70],"between":[71],"glottal":[72],"parameters,":[73],"is":[74,82,126,139,186],"central":[75],"model.":[80],"It":[81],"predict":[85],"standard":[87],"R-parameters,":[88],"turn":[91],"are":[92],"synthesise":[95],"waveform.":[98],"However,":[99],"pulse":[102],"that":[103,140,182,190],"results":[104],"from":[105,115],"these":[106,159],"predictions":[107],"may":[108],"have":[109],"value":[112],"noticeably":[113],"different":[114],"specified":[117],"Rd,":[118],"yielding":[119],"undesirable":[120],"artefacts,":[121],"particularly":[122],"when":[123],"model":[125],"detailed":[129],"syn-thesis":[132],"non-modal":[134],"voice.":[135],"A":[136],"further":[137],"limitation":[138],"only":[141],"a":[142,161],"subset":[143],"values":[147],"can":[148],"be":[149],"used,":[150],"avoid":[152],"conflicting":[153],"settings.":[156],"To":[157],"eliminate":[158],"problems,":[160],"new":[162],"iterative":[163],"was":[165],"developed":[166],"based":[167],"Newton-Raphson":[170],"method":[171],"two":[173],"variables,":[174],"but":[175],"modified":[176],"include":[178],"constraints.":[179],"ensures":[181],"correct":[184],"always":[187],"obtained":[188],"converges":[193],"effectively":[195],"all":[196],"permissible":[197],"values.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
