{"id":"https://openalex.org/W2404911693","doi":"https://doi.org/10.21437/interspeech.2012-364","title":"Modeling the creaky excitation for parametric speech synthesis","display_name":"Modeling the creaky excitation for parametric speech synthesis","publication_year":2012,"publication_date":"2012-09-09","ids":{"openalex":"https://openalex.org/W2404911693","doi":"https://doi.org/10.21437/interspeech.2012-364","mag":"2404911693"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2012-364","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2012-364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2012","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/A5029023520","display_name":"Thomas Drugman","orcid":"https://orcid.org/0000-0002-1491-7878"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Drugman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075897911","display_name":"John Kane","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Kane","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029071500","display_name":"Christer Gobl","orcid":"https://orcid.org/0000-0002-5958-3891"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christer Gobl","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.683,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96018227,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1424","last_page":"1427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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/T10860","display_name":"Speech and Audio Processing","score":0.9944999814033508,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.9918000102043152,"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/parametric-statistics","display_name":"Parametric statistics","score":0.7231712341308594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6978985071182251},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.5549022555351257},{"id":"https://openalex.org/keywords/excitation","display_name":"Excitation","score":0.4927578270435333},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49197837710380554},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14461231231689453},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11550843715667725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07129901647567749}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7231712341308594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978985071182251},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.5549022555351257},{"id":"https://openalex.org/C83581075","wikidata":"https://www.wikidata.org/wiki/Q1361503","display_name":"Excitation","level":2,"score":0.4927578270435333},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49197837710380554},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14461231231689453},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11550843715667725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07129901647567749},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2012-364","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2012-364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2012","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.258.7771","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.258.7771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://tcts.fpms.ac.be/%7Edrugman/files/IS12-CreakSynthesis.pdf","raw_type":"text"},{"id":"pmh:oai:orbi.umons.ac.be:20.500.12907/5149","is_oa":false,"landing_page_url":"https://orbi.umons.ac.be/handle/20.500.12907/5149","pdf_url":null,"source":{"id":"https://openalex.org/S7407055454","display_name":"ORBi UMONS","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"13th Annual Conference of the International Speech Communication Association (Interspeech 2012), Portland, United States - Oregon [US-OR], 2012","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1500416372","https://openalex.org/W1842848203","https://openalex.org/W1958702020","https://openalex.org/W2010070470","https://openalex.org/W2016730668","https://openalex.org/W2066999516","https://openalex.org/W2082018710","https://openalex.org/W2096760972","https://openalex.org/W2097634052","https://openalex.org/W2107449214","https://openalex.org/W2109138290","https://openalex.org/W2149730744","https://openalex.org/W2396205624","https://openalex.org/W2740563170"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W2050925970"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,12,15,74,93],"produce":[3],"natural":[4],"sounding":[5],"output,":[6],"corpus-based":[7],"speech":[8,40,106,112,141],"synthesis":[9],"systems":[10],"need":[11],"be":[13],"able":[14],"properly":[16],"model":[17,90,95],"the":[18,22,43,68,79,85,130],"acoustic":[19,48],"variability":[20],"in":[21,32,35,119],"corpus.":[23],"Creaky":[24],"voice":[25,28,97,116,131],"is":[26,72,91,99],"a":[27,102,120,134],"quality":[29,132],"frequently":[30],"produced":[31],"many":[33],"languages,":[34],"both":[36],"read":[37],"and":[38,53,98],"conversational":[39],"settings.":[41],"However,":[42],"creaky":[44,69,96,115],"excitation":[45,70],"displays":[46],"different":[47],"characteristics":[49],"than":[50,133],"modal":[51],"excitations":[52],"is,":[54],"hence,":[55],"not":[56],"suitably":[57],"modelled":[58],"by":[59],"standard":[60,135],"vocoders.":[61],"This":[62,88],"study":[63],"presents":[64],"an":[65,76],"analysis":[66],"of":[67,78,84,110,129],"which":[71,124],"used":[73,118],"derive":[75],"extension":[77],"Deterministic":[80],"plus":[81],"Stochastic":[82],"Model":[83],"residual":[86],"signal.":[87],"proposed":[89],"designed":[92],"appropriately":[94],"integrated":[100],"into":[101],"vocoder":[103],"for":[104],"parametric":[105],"synthesis.":[107],"Copy-synthesis":[108],"versions":[109],"short":[111],"segments":[113],"containing":[114],"were":[117],"subjective":[121],"listening":[122],"test":[123],"revealed":[125],"clearly":[126],"better":[127],"rendering":[128],"vocoder.":[136],"Index":[137],"Terms:":[138],"Voice":[139],"quality,":[140],"synthesis,":[142],"creak,":[143],"vocal":[144],"fry":[145],"1.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}