{"id":"https://openalex.org/W2133273642","doi":"https://doi.org/10.1109/iscslp.2010.5684864","title":"Automatic phrase boundary labeling for Mandarin TTS corpus using context-dependent HMM","display_name":"Automatic phrase boundary labeling for Mandarin TTS corpus using context-dependent HMM","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2133273642","doi":"https://doi.org/10.1109/iscslp.2010.5684864","mag":"2133273642"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp.2010.5684864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2010.5684864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Symposium on Chinese Spoken Language Processing","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/A5041026723","display_name":"Chenyu Yang","orcid":"https://orcid.org/0000-0002-5000-3408"},"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":"Chen-Yu Yang","raw_affiliation_strings":["IFlyTek Speech Laboratory, EEIS, University of Science and Technology, Hefei, China","iFly Speech Lab, EEIS, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"IFlyTek Speech Laboratory, EEIS, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFly Speech Lab, EEIS, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059767940","display_name":"Zhen-Hua Ling","orcid":"https://orcid.org/0000-0001-7853-5273"},"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":"Zhen-Hua Ling","raw_affiliation_strings":["IFlyTek Speech Laboratory, EEIS, University of Science and Technology, Hefei, China","iFly Speech Lab, EEIS, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"IFlyTek Speech Laboratory, EEIS, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFly Speech Lab, EEIS, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618443","display_name":"Heng Lu","orcid":"https://orcid.org/0009-0009-9236-8825"},"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":"Heng Lu","raw_affiliation_strings":["IFlyTek Speech Laboratory, EEIS, University of Science and Technology, Hefei, China","iFly Speech Lab, EEIS, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"IFlyTek Speech Laboratory, EEIS, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFly Speech Lab, EEIS, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038369085","display_name":"Wu Guo","orcid":"https://orcid.org/0000-0002-3779-7944"},"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":"Wu Guo","raw_affiliation_strings":["IFlyTek Speech Laboratory, EEIS, University of Science and Technology, Hefei, China","iFly Speech Lab, EEIS, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"IFlyTek Speech Laboratory, EEIS, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFly Speech Lab, EEIS, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057227915","display_name":"Li-Rong Dai","orcid":"https://orcid.org/0000-0002-0859-2827"},"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":"Li-Rong Dai","raw_affiliation_strings":["IFlyTek Speech Laboratory, EEIS, University of Science and Technology, Hefei, China","iFly Speech Lab, EEIS, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"IFlyTek Speech Laboratory, EEIS, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFly Speech Lab, EEIS, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041026723"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.451,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74314966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"374","last_page":"377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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/T12031","display_name":"Speech and dialogue systems","score":0.9966999888420105,"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/mandarin-chinese","display_name":"Mandarin Chinese","score":0.889359712600708},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8433496952056885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7827239036560059},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7451682686805725},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7388253211975098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6514272093772888},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6339831352233887},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5538915395736694},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4845358729362488},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4720735549926758},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45470792055130005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3412310481071472},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12310770153999329},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06755509972572327},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06368198990821838}],"concepts":[{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.889359712600708},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8433496952056885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827239036560059},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7451682686805725},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7388253211975098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6514272093772888},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6339831352233887},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5538915395736694},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4845358729362488},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4720735549926758},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45470792055130005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3412310481071472},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12310770153999329},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06755509972572327},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06368198990821838},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp.2010.5684864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2010.5684864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Symposium on Chinese Spoken Language Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"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":15,"referenced_works":["https://openalex.org/W40598367","https://openalex.org/W1600722501","https://openalex.org/W2008582718","https://openalex.org/W2049686551","https://openalex.org/W2112235095","https://openalex.org/W2136603502","https://openalex.org/W2154481420","https://openalex.org/W2159528802","https://openalex.org/W2166820052","https://openalex.org/W2166823384","https://openalex.org/W4285719527","https://openalex.org/W4301420498","https://openalex.org/W4390911734","https://openalex.org/W6601644675","https://openalex.org/W6683640347"],"related_works":["https://openalex.org/W2990005675","https://openalex.org/W2374317326","https://openalex.org/W1603321096","https://openalex.org/W2394766824","https://openalex.org/W2078713291","https://openalex.org/W2361574037","https://openalex.org/W2386292991","https://openalex.org/W2364440891","https://openalex.org/W2393726922","https://openalex.org/W2366752344"],"abstract_inverted_index":{"In":[0,29,54],"this":[1],"paper,":[2],"an":[3,81,94],"automatic":[4],"prosodic":[5,52,103],"phrase":[6,77,104],"boundary":[7,78,105],"labeling":[8,27,55],"method":[9,17,70],"for":[10,80,101],"speech":[11,42],"synthesis":[12],"database":[13,49],"is":[14,35,44,113],"presented.":[15],"This":[16],"can":[18,98],"be":[19,99],"divided":[20],"into":[21],"two":[22],"stages:":[23],"training":[24,30,48],"stage":[25],"and":[26,66],"stage.":[28],"stage,":[31,56],"context-dependent":[32],"HMM,":[33],"which":[34,112],"commonly":[36],"adopted":[37],"in":[38],"the":[39,47,57,63,67,75,102,116],"HMM-based":[40],"parametric":[41],"synthesis,":[43],"estimated":[45],"using":[46],"with":[50],"manual":[51],"labeling.":[53],"maximum":[58],"likelihood":[59],"criterion":[60],"derived":[61],"from":[62],"trained":[64],"HMMs":[65],"exhaustive":[68],"search":[69],"are":[71],"employed":[72],"to":[73,115],"find":[74],"optimal":[76],"positions":[79],"input":[82],"sentence":[83],"based":[84],"on":[85],"its":[86],"acoustic":[87],"features.":[88],"The":[89],"experimental":[90],"results":[91],"show":[92],"that":[93],"F-score":[95],"of":[96,107,118],"76.46%":[97],"achieved":[100],"detection":[106],"our":[108],"Mandarin":[109],"TTS":[110],"corpus,":[111],"close":[114],"accuracy":[117],"experienced":[119],"human":[120],"labelers.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}