{"id":"https://openalex.org/W2156877298","doi":"https://doi.org/10.1109/icme.2003.1221286","title":"Auditive learning based Chinese F0 prediction","display_name":"Auditive learning based Chinese F0 prediction","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2156877298","doi":"https://doi.org/10.1109/icme.2003.1221286","mag":"2156877298"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2003.1221286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1221286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","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/A5103667364","display_name":"Tao Jianhua","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Jianhua","raw_affiliation_strings":["Chinese Academy of Science, National Lab of Pattern Recognition, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science, National Lab of Pattern Recognition, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039343646","display_name":"Ni Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ni Xing","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103667364"],"corresponding_institution_ids":["https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.4682,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76395683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"III","last_page":"213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9979000091552734,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prosody","display_name":"Prosody","score":0.7811387777328491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7237444519996643},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.642695963382721},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.6378735899925232},{"id":"https://openalex.org/keywords/syllable","display_name":"Syllable","score":0.6134210824966431},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5825849771499634},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.574381947517395},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5701123476028442},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.540404736995697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.513652503490448},{"id":"https://openalex.org/keywords/fundamental-frequency","display_name":"Fundamental frequency","score":0.46303921937942505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3521691560745239},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12465748190879822},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09068131446838379}],"concepts":[{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.7811387777328491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7237444519996643},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.642695963382721},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.6378735899925232},{"id":"https://openalex.org/C109089402","wikidata":"https://www.wikidata.org/wiki/Q8188","display_name":"Syllable","level":2,"score":0.6134210824966431},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5825849771499634},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.574381947517395},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5701123476028442},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.540404736995697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.513652503490448},{"id":"https://openalex.org/C10513763","wikidata":"https://www.wikidata.org/wiki/Q1331774","display_name":"Fundamental frequency","level":2,"score":0.46303921937942505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3521691560745239},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12465748190879822},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09068131446838379},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2003.1221286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1221286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.653.5070","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.653.5070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mirlab.org/conference_papers/International_Conference/ICME+2003/pdfs/0300213.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W51841454","https://openalex.org/W64927310","https://openalex.org/W138059918","https://openalex.org/W188053762","https://openalex.org/W1504955803","https://openalex.org/W1558272143","https://openalex.org/W2034277951","https://openalex.org/W2091738194","https://openalex.org/W2150658333","https://openalex.org/W2370577897","https://openalex.org/W6602131479","https://openalex.org/W6602605518","https://openalex.org/W6607680963","https://openalex.org/W6629865496"],"related_works":["https://openalex.org/W2396586136","https://openalex.org/W2599935372","https://openalex.org/W1505084104","https://openalex.org/W1927421023","https://openalex.org/W10581632","https://openalex.org/W3203313352","https://openalex.org/W3149582125","https://openalex.org/W1984347656","https://openalex.org/W1965141925","https://openalex.org/W2465421051"],"abstract_inverted_index":{"The":[0,96],"paper":[1,97],"described":[2],"a":[3,27],"new":[4],"F0":[5,24,36,47,53,105,112],"model":[6],"based":[7],"on":[8,15],"auditive":[9],"learning":[10],"(AL)":[11],"method.":[12],"Being":[13],"focused":[14],"the":[16,68,78,91,100,104,117],"notion":[17],"of":[18,35,70,94,103],"prosody":[19,56],"templates,":[20],"we":[21],"confirmed":[22],"that":[23,116],"patterns":[25],"for":[26,51],"syllable":[28],"can":[29],"be":[30],"extracted":[31],"from":[32],"various":[33],"anamorphosis":[34],"contours":[37],"in":[38,73],"spontaneous":[39],"speech.":[40],"It":[41],"is":[42,64],"much":[43,121],"suitable":[44],"to":[45,66,84,123],"use":[46],"templates":[48],"selection":[49],"method":[50,63],"Chinese":[52],"prediction":[54],"with":[55],"cost":[57],"function":[58],"(PCF).":[59],"Furthermore,":[60],"an":[61],"AL":[62],"used":[65],"adjust":[67],"weight":[69],"PCF":[71],"dynamically":[72],"application.":[74],"Unlike":[75],"other":[76],"methods,":[77],"approach":[79],"may":[80],"give":[81],"feedback":[82],"as":[83],"exactly":[85],"what":[86],"are":[87,120],"crucial":[88],"parameters":[89],"determining":[90],"successful":[92],"choice":[93],"patterns.":[95],"also":[98],"analyzes":[99],"error":[101],"distribution":[102],"predicting":[106],"results.":[107],"Both":[108],"smoothing":[109],"testing":[110,114],"and":[111],"range":[113],"show":[115],"synthesis":[118],"results":[119],"closed":[122],"human":[124],"being.":[125]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
