{"id":"https://openalex.org/W2122128764","doi":"https://doi.org/10.1109/chinsl.2004.1409589","title":"Modeling glottal effect on the spectral envelop of STRAIGHT using mixture of Gaussians","display_name":"Modeling glottal effect on the spectral envelop of STRAIGHT using mixture of Gaussians","publication_year":2005,"publication_date":"2005-04-06","ids":{"openalex":"https://openalex.org/W2122128764","doi":"https://doi.org/10.1109/chinsl.2004.1409589","mag":"2122128764"},"language":"en","primary_location":{"id":"doi:10.1109/chinsl.2004.1409589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinsl.2004.1409589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SympoTIC '04. Joint 1st Workshop on Mobile Future &amp; Symposium on Trends In Communications (IEEE Cat. No.04EX877)","raw_type":"proceedings-article"},"type":"article","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/A5069176378","display_name":"Zhen-Hua Ling","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen-Hua Ling","raw_affiliation_strings":["IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","iFLYTEK Speech Lab, Univ. of Sci. & Technol. of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFLYTEK Speech Lab, Univ. of Sci. & Technol. of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339104","display_name":"Yuping Wang","orcid":"https://orcid.org/0000-0001-6868-0004"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Ping Wang","raw_affiliation_strings":["IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","iFLYTEK Speech Lab, Univ. of Sci. & Technol. of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFLYTEK Speech Lab, Univ. of Sci. & Technol. of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112134613","display_name":"Yu Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Hu","raw_affiliation_strings":["IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","iFLYTEK Speech Lab, Univ. of Sci. & Technol. of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFLYTEK Speech Lab, Univ. of Sci. & Technol. of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045299550","display_name":"Ren-Hua Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren-Hua Wang","raw_affiliation_strings":["IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","iFLYTEK Speech Lab, Univ. of Sci. & Technol. of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"IFlytek Speech Laboratory, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFLYTEK Speech Lab, Univ. of Sci. & Technol. of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069176378"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.9142,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8184249,"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":"73","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9983000159263611,"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/T10863","display_name":"Voice and Speech Disorders","score":0.998199999332428,"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/formant","display_name":"Formant","score":0.8069530725479126},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6415956020355225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6006965041160583},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5544052124023438},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4915653169155121},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.46793267130851746},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44883838295936584},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44680583477020264},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4454520344734192},{"id":"https://openalex.org/keywords/spectral-shape-analysis","display_name":"Spectral shape analysis","score":0.44467803835868835},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4444449245929718},{"id":"https://openalex.org/keywords/spectral-envelope","display_name":"Spectral envelope","score":0.4213823080062866},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.41993993520736694},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.41949164867401123},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.33849042654037476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3182392716407776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18026471138000488},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.17292523384094238},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1349342167377472},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13259699940681458},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1190209686756134},{"id":"https://openalex.org/keywords/vowel","display_name":"Vowel","score":0.06849050521850586}],"concepts":[{"id":"https://openalex.org/C158215666","wikidata":"https://www.wikidata.org/wiki/Q1414685","display_name":"Formant","level":3,"score":0.8069530725479126},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6415956020355225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6006965041160583},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5544052124023438},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4915653169155121},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.46793267130851746},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44883838295936584},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44680583477020264},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4454520344734192},{"id":"https://openalex.org/C152822103","wikidata":"https://www.wikidata.org/wiki/Q7575207","display_name":"Spectral shape analysis","level":3,"score":0.44467803835868835},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4444449245929718},{"id":"https://openalex.org/C54926389","wikidata":"https://www.wikidata.org/wiki/Q7575188","display_name":"Spectral envelope","level":2,"score":0.4213823080062866},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.41993993520736694},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.41949164867401123},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.33849042654037476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3182392716407776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18026471138000488},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.17292523384094238},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1349342167377472},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13259699940681458},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1190209686756134},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.06849050521850586},{"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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/chinsl.2004.1409589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinsl.2004.1409589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SympoTIC '04. Joint 1st Workshop on Mobile Future &amp; Symposium on Trends In Communications (IEEE Cat. No.04EX877)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.408.1920","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.1920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://isca-speech.org/archive_open/archive_papers/iscslp2004/044.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"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":7,"referenced_works":["https://openalex.org/W156594475","https://openalex.org/W169745891","https://openalex.org/W2021320575","https://openalex.org/W2049686551","https://openalex.org/W2064990378","https://openalex.org/W2143171927","https://openalex.org/W4402490932"],"related_works":["https://openalex.org/W2020667943","https://openalex.org/W2019183077","https://openalex.org/W1997141060","https://openalex.org/W2040940567","https://openalex.org/W2007544974","https://openalex.org/W2003658207","https://openalex.org/W1968274032","https://openalex.org/W2394579548","https://openalex.org/W2086400784","https://openalex.org/W2019787580"],"abstract_inverted_index":{"This":[0,101],"paper":[1],"presents":[2],"a":[3,32],"method":[4],"to":[5,76,86,105,112],"model":[6,102],"the":[7,13,28,44,47,51,77,88,94,97,106,117],"influence":[8],"of":[9,22,34,96],"glottal":[10,48,78],"excitation":[11],"on":[12],"STRAIGHT":[14,52,107],"(speech":[15],"transformation":[16],"and":[17,72,93,110],"representation":[18],"using":[19],"adaptive":[20],"interpolation":[21],"weighted":[23],"spectrum)":[24],"spectrum":[25,53],"by":[26,122],"fitting":[27],"spectral":[29,70],"envelop":[30],"with":[31,65],"mixture":[33],"Gaussians":[35],"(MOG).":[36],"The":[37],"first":[38,98],"Gaussian":[39,99],"component":[40],"is":[41,83,103],"used":[42],"as":[43],"estimation":[45],"for":[46],"formant":[49],"in":[50,115],"because":[54],"analysis":[55],"results":[56],"show":[57],"that":[58],"it":[59],"has":[60,73],"an":[61],"obviously":[62],"stronger":[63],"correlation":[64],"fundamental":[66],"frequency":[67],"than":[68],"other":[69],"components":[71],"similar":[74],"characteristics":[75],"formant.":[79],"Then":[80],"linear":[81],"regression":[82],"carried":[84],"out":[85],"measure":[87],"relationship":[89],"between":[90],"F/sub":[91],"0/":[92],"parameters":[95],"component.":[100],"applied":[104],"synthesis":[108],"process":[109],"proved":[111],"be":[113],"effective":[114],"compensating":[116],"voice":[118],"quality":[119],"variation":[120],"caused":[121],"pitch":[123],"modification.":[124]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
