乐胖代购免代理版

{"id":"https://openalex.org/W2171696107","doi":"https://doi.org/10.1109/mmcs.1999.779310","title":"Emotion recognition and synthesis system on speech","display_name":"Emotion recognition and synthesis system on speech","publication_year":2003,"publication_date":"2003-01-20","ids":{"openalex":"https://openalex.org/W2171696107","doi":"https://doi.org/10.1109/mmcs.1999.779310","mag":"2171696107"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmcs.1999.779310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5041340821","display_name":"Takahiro Moriyama","orcid":"https://orcid.org/0000-0001-7071-0823"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"funder","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Moriyama","raw_affiliation_strings":["Faculty of Science and Technology, Keio University, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030517670","display_name":"Shuichi Ozawa","orcid":"https://orcid.org/0000-0001-5459-9846"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"funder","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Ozawa","raw_affiliation_strings":["Faculty of Science and Technology, Keio University, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.986,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":50,"citation_normalized_percentile":{"value":0.97337,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":92,"max":93},"biblio":{"volume":"1","issue":null,"first_page":"840","last_page":"844"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9969,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9969,"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/T11309","display_name":"Music and Audio Processing","score":0.9888,"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/T10320","display_name":"Neural Networks and Applications","score":0.9842,"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/envelope","display_name":"Envelope (radar)","score":0.5063034},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.47594854},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.4704883},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical Analysis","score":0.44862515}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6809153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6313193},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5949356},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.57860047},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.5633665},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5219811},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.5063034},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.47594854},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4706715},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.4704883},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.44862515},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.4210531},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37681863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3519912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21032768},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15039021},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11201593},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmcs.1999.779310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.49,"display_name":"Peace, justice, and strong institutions"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":19,"referenced_works":["https://openalex.org/W1508316813","https://openalex.org/W1926663720","https://openalex.org/W1968244788","https://openalex.org/W1970104171","https://openalex.org/W1973378890","https://openalex.org/W2006590470","https://openalex.org/W2024224450","https://openalex.org/W2053825413","https://openalex.org/W2061688018","https://openalex.org/W2078833921","https://openalex.org/W2089051244","https://openalex.org/W2091904288","https://openalex.org/W2092615387","https://openalex.org/W2093862925","https://openalex.org/W2113396990","https://openalex.org/W2169406534","https://openalex.org/W2993383518","https://openalex.org/W4230230169","https://openalex.org/W568083831"],"related_works":["https://openalex.org/W642007152","https://openalex.org/W596245619","https://openalex.org/W4304187160","https://openalex.org/W4253660971","https://openalex.org/W2550171623","https://openalex.org/W2401827384","https://openalex.org/W2164147372","https://openalex.org/W1909292483","https://openalex.org/W1658560081","https://openalex.org/W1428730622"],"abstract_inverted_index":{"A":[0,106],"system":[1,49,141],"that":[2,19],"is":[3,14,35,43,72,88,100,114],"capable":[4],"of":[5,24,57,108,137],"both":[6],"recognizing":[7],"and":[8,41,53,96,146],"synthesising":[9],"emotional":[10,25,29,109,148],"content":[11,30,149],"in":[12,150],"speech":[13,26,151],"developed.":[15],"First,":[16],"the":[17,21,28,33,46,63,67,69,75,85,104,121,135,138,140],"information":[18,127],"relates":[20],"physical":[22],"features":[23],"to":[27,45,102,144],"perceived":[31],"by":[32,55,74,79,90],"listeners":[34],"estimated":[36],"through":[37],"linear":[38,60],"statistical":[39,123],"methods":[40],"it":[42],"applied":[44,101],"system.":[47],"The":[48,125],"realises":[50],"emotion":[51],"recognition":[52],"synthesis":[54],"means":[56],"a":[58],"simple":[59],"operation":[61],"using":[62],"relation":[64,126],"information.":[65],"In":[66],"system,":[68],"pitch":[70],"contour":[71],"expressed":[73],"seven-parameter":[76],"model":[77],"proposed":[78],"Hirose,":[80],"Fujisaki":[81],"&":[82],"Yamaguchi":[83],"(1984),":[84],"power":[86],"envelope":[87],"approximated":[89],"five":[91],"line":[92],"segments":[93],"(11":[94],"parameters),":[95],"PSOLA":[97],"(Pitch-Synchronous":[98],"OverLAp)":[99],"synthesise":[103,147],"speech.":[105],"set":[107],"words,":[110],"among":[111],"which":[112],"there":[113],"very":[115],"little":[116],"correlation,":[117],"was":[118,128,142],"selected":[119],"from":[120,134],"preliminary":[122],"experiments.":[124],"verified":[129],"as":[130,153],"being":[131],"significant":[132],"and,":[133],"results":[136],"experiments,":[139],"able":[143],"recognise":[145],"just":[152],"human":[154],"subjects":[155],"did.":[156]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2171696107","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-04-24T05:54:56.532966","created_date":"2016-06-24"}