{"id":"https://openalex.org/W2165203136","doi":"https://doi.org/10.1109/tasl.2008.2006578","title":"Idiolect Extraction and Generation for Personalized Speaking Style Modeling","display_name":"Idiolect Extraction and Generation for Personalized Speaking Style Modeling","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2165203136","doi":"https://doi.org/10.1109/tasl.2008.2006578","mag":"2165203136"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2008.2006578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2008.2006578","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5103251327","display_name":"Chung\u2010Hsien Wu","orcid":"https://orcid.org/0000-0002-3947-2123"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hsien Wu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106764737","display_name":"Chung-Han Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Han Lee","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069610785","display_name":"Chung-Hau Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hau Liang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.453,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75865228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"17","issue":"1","first_page":"127","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9894000291824341,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9894000291824341,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9848999977111816,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7471612691879272},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.6410322785377502},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6326898336410522},{"id":"https://openalex.org/keywords/fluency","display_name":"Fluency","score":0.6085831522941589},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.5921357870101929},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5883875489234924},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5877571105957031},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5134559273719788},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4913005232810974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4820705056190491},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.48150715231895447},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4764818847179413},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.29409676790237427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7471612691879272},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.6410322785377502},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6326898336410522},{"id":"https://openalex.org/C2777413886","wikidata":"https://www.wikidata.org/wiki/Q3276013","display_name":"Fluency","level":2,"score":0.6085831522941589},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.5921357870101929},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5883875489234924},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5877571105957031},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5134559273719788},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4913005232810974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4820705056190491},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.48150715231895447},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4764818847179413},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.29409676790237427},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tasl.2008.2006578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2008.2006578","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W73629738","https://openalex.org/W126257978","https://openalex.org/W205402702","https://openalex.org/W1489670474","https://openalex.org/W1518670641","https://openalex.org/W1519124935","https://openalex.org/W1574901103","https://openalex.org/W1940278502","https://openalex.org/W1983578042","https://openalex.org/W2035301451","https://openalex.org/W2053117372","https://openalex.org/W2066186361","https://openalex.org/W2097333193","https://openalex.org/W2098152775","https://openalex.org/W2101105183","https://openalex.org/W2102261232","https://openalex.org/W2102515914","https://openalex.org/W2102840509","https://openalex.org/W2104869523","https://openalex.org/W2108601574","https://openalex.org/W2108869098","https://openalex.org/W2109163800","https://openalex.org/W2120840702","https://openalex.org/W2123294466","https://openalex.org/W2125595375","https://openalex.org/W2129468719","https://openalex.org/W2132019450","https://openalex.org/W2136880172","https://openalex.org/W2137718131","https://openalex.org/W2156714931","https://openalex.org/W2158997610","https://openalex.org/W2161135987","https://openalex.org/W2166559705","https://openalex.org/W2276596416","https://openalex.org/W2439041746","https://openalex.org/W2546541005","https://openalex.org/W3021321775","https://openalex.org/W3183881215","https://openalex.org/W3211721032","https://openalex.org/W4230002743","https://openalex.org/W4320013820","https://openalex.org/W6631075914","https://openalex.org/W6640448907","https://openalex.org/W6675446596","https://openalex.org/W6675533485","https://openalex.org/W6677900470","https://openalex.org/W6683254685","https://openalex.org/W6694333015","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W2735662278","https://openalex.org/W2562096895","https://openalex.org/W2333799855","https://openalex.org/W2365169615","https://openalex.org/W2382615723","https://openalex.org/W3013539567"],"abstract_inverted_index":{"A":[0],"person's":[1,75],"speaking":[2,37,49,76,150,210],"style,":[3],"consisting":[4],"of":[5,11,29,36,81,88,111,155,161,168,186],"such":[6],"attributes":[7],"as":[8,130],"voice,":[9],"choice":[10],"vocabulary,":[12],"and":[13,42,69,180],"the":[14,21,27,79,98,109,112,121,125,131,137,153,166,169,183,194],"physical":[15],"motions":[16],"employed,":[17],"not":[18],"only":[19],"expresses":[20],"speaker's":[22,149],"identity":[23],"but":[24],"also":[25],"emphasizes":[26],"content":[28],"an":[30],"utterance.":[31],"Speech":[32],"combining":[33],"these":[34],"aspects":[35],"style":[38,50,77,151],"becomes":[39],"more":[40,54],"vivid":[41],"expressive":[43],"to":[44,56,71,95],"listeners.":[45],"Recent":[46],"research":[47],"on":[48,63,108,175],"modeling":[51],"has":[52],"paid":[53],"attention":[55],"speech":[57,105,184],"signal":[58],"processing.":[59],"This":[60],"approach":[61],"focuses":[62],"text":[64,139,145,202,206],"processing":[65],"for":[66,78],"idiolect":[67,135,157],"extraction":[68],"generation":[70],"model":[72],"a":[73,92,102,143,147,176,200,204,208],"specific":[74],"application":[80],"text-to-speech":[82],"(TTS)":[83],"conversion.":[84],"The":[85,190],"first":[86],"stage":[87],"this":[89],"study":[90],"adopts":[91],"statistical":[93],"method":[94,196],"automatically":[96],"detect":[97],"candidate":[99,114],"idiolects":[100,117],"from":[101,182],"personalized,":[103],"transcribed":[104,181],"corpus.":[106],"Based":[107],"categorization":[110],"detected":[113],"idiolects,":[115],"superfluous":[116,156],"are":[118,128],"extracted":[119],"using":[120],"fluency":[122],"measure":[123],"while":[124],"remaining":[126],"candidates":[127],"regarded":[129],"nonsuperfluous":[132,162],"idiolects.":[133],"In":[134],"generation,":[136],"input":[138],"is":[140],"converted":[141],"into":[142,203],"target":[144,205],"with":[146,207],"particular":[148],"via":[152],"insertion":[154],"or":[158],"synonym":[159],"substitution":[160],"idiolect.":[163],"To":[164],"evaluate":[165],"performance":[167],"proposed":[170,195],"methods,":[171],"experiments":[172],"were":[173],"conducted":[174],"Chinese":[177],"corpus":[178],"collected":[179],"files":[185],"three":[187],"Taiwanese":[188],"politicians.":[189],"results":[191],"show":[192],"that":[193],"can":[197],"effectively":[198],"convert":[199],"source":[201],"personalized":[209],"style.":[211]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
