{"id":"https://openalex.org/W7389584","doi":"https://doi.org/10.21437/interspeech.2004-463","title":"A prosodic phrasing model for a Korean text-to-speech synthesis system","display_name":"A prosodic phrasing model for a Korean text-to-speech synthesis system","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W7389584","doi":"https://doi.org/10.21437/interspeech.2004-463","mag":"7389584"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-463","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","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/A5100924013","display_name":"Kyuchul Yoon","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kyuchul Yoon","raw_affiliation_strings":["Department of Linguistics, The Ohio State University, 1712 Neil Avenue, Columbus, OH 43210, USA"],"affiliations":[{"raw_affiliation_string":"Department of Linguistics, The Ohio State University, 1712 Neil Avenue, Columbus, OH 43210, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100924013"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.452,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71768363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1873","last_page":"1876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9941999912261963,"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/T10028","display_name":"Topic Modeling","score":0.9891999959945679,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/treebank","display_name":"Treebank","score":0.9525787830352783},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6769150495529175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6500126123428345},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5998370051383972},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5845203995704651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5809581279754639},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.49274900555610657},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4805236756801605},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.4138118624687195},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36133110523223877}],"concepts":[{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.9525787830352783},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6769150495529175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6500126123428345},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5998370051383972},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5845203995704651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5809581279754639},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.49274900555610657},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4805236756801605},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.4138118624687195},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36133110523223877},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2004-463","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1043255351","https://openalex.org/W2135057643","https://openalex.org/W2109902858","https://openalex.org/W1533278948","https://openalex.org/W1781980207","https://openalex.org/W2951759144","https://openalex.org/W28706907","https://openalex.org/W2949524199","https://openalex.org/W2575884139","https://openalex.org/W2017946383"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,109],"prosodic":[4,67],"phrasing":[5,105],"model":[6,106],"for":[7,61,137,143],"Korean":[8,30,42,59],"to":[9,95],"be":[10],"used":[11],"in":[12],"text-to-speech":[14],"synthesis":[15],"(TTS)":[16],"system.":[17],"Read":[18],"text":[19],"corpora":[20],"were":[21,87],"morpho-syntactically":[22],"parsed":[23],"and":[24,45,57,63,65,91,100,132,141],"prosodically":[25],"labeled":[26],"following":[27],"the":[28,50],"Penn":[29,41],"Treebank":[31],"(Han,":[32],"Chunghye,":[33],"Ko,":[34],"Eon-Suk,":[35],"Yi,":[36],"Heejong,":[37],"Palmer,":[38],"M.,":[39],"2002.":[40],"Treebank:":[43],"development":[44],"evaluation.":[46],"In:":[47],"Proceedings":[48],"of":[49,98,120],"16th":[51],"Pacific":[52],"Asian":[53],"Conference":[54],"on":[55,108],"Language":[56,62],"Computation.":[58],"Society":[60],"Information.)":[64],"K-ToBI":[66,73],"labeling":[68],"conventions":[69],"(Sun-Ah,":[70],"J.,":[71],"2000.":[72],"(Korean":[74],"ToBI)":[75],"labelling":[76],"conventions.":[77],"Version":[78],"3.1.":[79],"Available":[80],"from:":[81],"URL":[82],".),":[83],"respectively.":[84],"Decision":[85],"trees":[86],"trained":[88],"with":[89,117,130,134],"morpho-syntactic":[90],"textual":[92],"distance":[93],"features":[94],"predict":[96],"locations":[97],"accentual":[99,138],"intonational":[101,144],"phrase":[102,139,145],"breaks.":[103],"Our":[104],"cross-validated":[107],"300-sentence":[110],"corpus":[111],"(6936":[112],"words":[113,125],"or":[114,123],"21,436":[115],"syllables,":[116],"an":[118],"average":[119],"72":[121],"syllables":[122],"23":[124],"per":[126],"sentence)":[127],"predicted":[128],"non-breaks":[129],"F=92.4%":[131],"breaks":[133,140],"F=88.0%":[135],"(F=72.8%":[136],"F=71.3%":[142],"breaks).":[146]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}