{"id":"https://openalex.org/W51731562","doi":"https://doi.org/10.21437/interspeech.2004-482","title":"High quality text-to-pinyin conversion using two-phase unknown word prediction","display_name":"High quality text-to-pinyin conversion using two-phase unknown word prediction","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W51731562","doi":"https://doi.org/10.21437/interspeech.2004-482","mag":"51731562"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-482","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-482","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":"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/A5008746618","display_name":"Jaeseon Ha","orcid":"https://orcid.org/0009-0006-3830-7261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juhong Ha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681023","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-5224-4344"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020246423","display_name":"Gary Geunbae Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gary Geunbae Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087201388","display_name":"Yoonsuk Seong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoon-Suk Seong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110803611","display_name":"Byeongchang Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Byeongchang Kim","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00347127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2565","last_page":"2568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.996999979019165,"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":0.996999979019165,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9945999979972839,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9889000058174133,"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/pinyin","display_name":"Pinyin","score":0.9732789993286133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7954955101013184},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6801528930664062},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6353183388710022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5442583560943604},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5220320224761963},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5174989700317383},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5027415752410889},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4990115165710449},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4444873034954071},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.43335258960723877},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41898104548454285},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.40238523483276367},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.23231524229049683},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09207069873809814}],"concepts":[{"id":"https://openalex.org/C2781095461","wikidata":"https://www.wikidata.org/wiki/Q42222","display_name":"Pinyin","level":3,"score":0.9732789993286133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954955101013184},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6801528930664062},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6353183388710022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5442583560943604},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5220320224761963},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5174989700317383},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5027415752410889},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4990115165710449},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4444873034954071},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.43335258960723877},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41898104548454285},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.40238523483276367},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.23231524229049683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09207069873809814},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2004-482","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-482","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":[{"score":0.5400000214576721,"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":2,"referenced_works":["https://openalex.org/W2153635508","https://openalex.org/W2160735413"],"related_works":["https://openalex.org/W2254356171","https://openalex.org/W2393940967","https://openalex.org/W644266459","https://openalex.org/W4206165639","https://openalex.org/W2050712820","https://openalex.org/W2385598138","https://openalex.org/W2346578824","https://openalex.org/W2366925922","https://openalex.org/W2159591557","https://openalex.org/W2115592387"],"abstract_inverted_index":{"One":[0],"of":[1,21,25,43,68,77,108,130,140],"the":[2,18,40,66,69,75,102,106,127,131,136,141],"enduring":[3],"problems":[4],"in":[5,46,53,123],"developing":[6],"high-quality":[7],"Chinese":[8,55,83,109],"TTS":[9,56,84],"(text-to-speech)":[10],"systems":[11],"is":[12,49],"accurate":[13],"text-to-Pinyin":[14],"conversion.":[15],"To":[16],"solve":[17],"problem,":[19],"identification":[20],"words":[22,48,79,104,133],"and":[23,112,150],"assignment":[24],"correct":[26,41],"POS":[27,113],"(Part-of-Speech)":[28],"tags":[29],"for":[30,105],"an":[31,50,95],"input":[32],"sentence":[33],"are":[34,143],"very":[35,144,155],"important":[36,51],"tasks.":[37],"Also,":[38],"determining":[39],"Pinyin":[42],"polyphonic":[44],"characters":[45],"unknown":[47,59,78,103,132],"problem":[52,61],"a":[54,82],"system.":[57],"The":[58],"word":[60,110],"has":[62],"significant":[63],"effects":[64],"on":[65],"accuracy":[67],"synthesized":[70],"sound,":[71],"so":[72],"accurately":[73],"predicting":[74],"category":[76],"can":[80],"help":[81],"system":[85],"to":[86,120],"pronounce":[87],"more":[88],"naturally.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93,125],"present":[94],"SVM(support":[96],"vector":[97],"machine)-based":[98],"method":[99],"that":[100],"predicts":[101],"results":[107],"segmentation":[111],"tagging.":[114],"For":[115],"high":[116,148,151,156],"speed":[117],"SVM":[118],"processing":[119],"be":[121],"used":[122],"TTS,":[124],"pre-detect":[126],"candidate":[128],"boundary":[129],"before":[134],"starting":[135],"actual":[137],"prediction.":[138],"Results":[139],"experiments":[142],"promising":[145],"by":[146],"showing":[147],"precision":[149],"recall":[152],"with":[153],"also":[154],"speed.":[157]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}