{"id":"https://openalex.org/W4205569209","doi":"https://doi.org/10.1007/s40747-021-00604-6","title":"Voice adaptation by color-encoded frame matching as a multi-objective optimization problem for future games","display_name":"Voice adaptation by color-encoded frame matching as a multi-objective optimization problem for future games","publication_year":2022,"publication_date":"2022-01-04","ids":{"openalex":"https://openalex.org/W4205569209","doi":"https://doi.org/10.1007/s40747-021-00604-6"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-021-00604-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00604-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00604-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00604-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087789548","display_name":"Mads Midtlyng","orcid":"https://orcid.org/0000-0002-4303-1697"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Mads Midtlyng","raw_affiliation_strings":["Department of Computer Science, Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024145352","display_name":"Yuji Sato","orcid":"https://orcid.org/0000-0001-8387-7710"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuji Sato","raw_affiliation_strings":["Faculty of Computer and Information Sciences, Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Sciences, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091637022","display_name":"Hiroshi Hosobe","orcid":"https://orcid.org/0000-0002-7975-052X"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Hosobe","raw_affiliation_strings":["Faculty of Computer and Information Sciences, Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Sciences, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087789548"],"corresponding_institution_ids":["https://openalex.org/I204291657"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00792195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"2","first_page":"1539","last_page":"1550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9976999759674072,"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/T11309","display_name":"Music and Audio Processing","score":0.9976999759674072,"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/T10860","display_name":"Speech and Audio Processing","score":0.996999979019165,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8210455179214478},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6198747158050537},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.5415182113647461},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4977152645587921},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4577102065086365},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4252849221229553},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.41251373291015625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40636682510375977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8210455179214478},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6198747158050537},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.5415182113647461},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4977152645587921},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4577102065086365},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4252849221229553},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.41251373291015625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40636682510375977},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s40747-021-00604-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00604-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00604-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s40747-021-00604-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00604-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00604-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G1069223013","display_name":null,"funder_award_id":"JSPS KAKENHI","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G1727014828","display_name":"Research on Distributed Evolutionary Computation for Real-time Many-Objective Optimization in Smart City","funder_award_id":"19K12162","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3382081958","display_name":null,"funder_award_id":"JP19K12162","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4227499671","display_name":null,"funder_award_id":"KAKENHI Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4636223006","display_name":null,"funder_award_id":"JSPS KAK","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5282432966","display_name":"\u897f\u5c71\u515a\u306e\u4e71\u306e\u53f2\u7684\u7814\u7a76","funder_award_id":"12162","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205569209.pdf","grobid_xml":"https://content.openalex.org/works/W4205569209.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W33533989","https://openalex.org/W155193863","https://openalex.org/W1590808459","https://openalex.org/W1971754692","https://openalex.org/W1977362459","https://openalex.org/W2017425464","https://openalex.org/W2086796102","https://openalex.org/W2100649345","https://openalex.org/W2118850452","https://openalex.org/W2119159249","https://openalex.org/W2123003832","https://openalex.org/W2130529515","https://openalex.org/W2136166660","https://openalex.org/W2143381319","https://openalex.org/W2145130307","https://openalex.org/W2165674530","https://openalex.org/W2418057271","https://openalex.org/W2532494225","https://openalex.org/W2598707757","https://openalex.org/W2785765285","https://openalex.org/W2889329491","https://openalex.org/W2909051084","https://openalex.org/W2922283382","https://openalex.org/W2937579788","https://openalex.org/W2963035245","https://openalex.org/W2964069186","https://openalex.org/W3094023447","https://openalex.org/W3118753411","https://openalex.org/W3154451338","https://openalex.org/W3163573274","https://openalex.org/W4231951313"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W2943623134","https://openalex.org/W2494523064","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W2215759665","https://openalex.org/W2030292806","https://openalex.org/W1526712007","https://openalex.org/W1533421371","https://openalex.org/W2033549879"],"abstract_inverted_index":{"Abstract":[0],"Voice":[1],"adaptation":[2,196],"is":[3,26,206],"an":[4],"interactive":[5],"speech":[6],"processing":[7],"technique":[8],"that":[9,25],"allows":[10],"the":[11,37,70],"speaker":[12],"to":[13,51,64,101,148],"transmit":[14],"with":[15],"a":[16,22,58,115,119,144,200],"chosen":[17],"target":[18,41],"voice.":[19,71],"We":[20],"propose":[21],"novel":[23],"method":[24,165],"intended":[27],"for":[28],"dynamic":[29],"scenarios,":[30],"such":[31,85,130,210],"as":[32,86,131],"online":[33],"video":[34],"games,":[35],"where":[36],"source":[38,126],"speaker\u2019s":[39,42],"and":[40,53,60,134,160,177,187,204],"data":[43,129],"are":[44,137,158],"nonaligned.":[45],"This":[46],"would":[47],"yield":[48],"massive":[49],"improvements":[50],"immersion":[52],"experience":[54],"by":[55,68],"fully":[56],"becoming":[57],"character,":[59],"address":[61],"privacy":[62],"concerns":[63],"protect":[65],"against":[66,123],"harassment":[67],"disguising":[69],"With":[72],"unaligned":[73],"data,":[74],"traditional":[75],"methods,":[76],"e.g.,":[77],"probabilistic":[78],"models":[79],"become":[80],"inaccurate,":[81],"while":[82],"recent":[83],"methods":[84,97],"deep":[87],"neural":[88],"networks":[89],"(DNN)":[90],"require":[91,98],"too":[92],"substantial":[93],"preparation":[94],"work.":[95],"Common":[96],"multiple":[99],"subjects":[100],"be":[102],"trained":[103],"in":[104,109,143,199,212],"parallel,":[105],"which":[106],"constraints":[107],"practicality":[108],"productive":[110],"environments.":[111],"Our":[112],"proposal":[113],"trains":[114],"subject":[116],"nonparallel":[117],"into":[118,139],"voice":[120,182,202],"profile":[121],"used":[122,142],"any":[124],"unknown":[125],"speaker.":[127],"Prosodic":[128],"pitch,":[132],"power":[133],"temporal":[135],"structure":[136],"encoded":[138],"RGBA-colored":[140],"frames":[141,157],"multi-objective":[145],"optimization":[146],"problem":[147],"adjust":[149],"interrelated":[150],"features":[151],"based":[152],"on":[153],"color":[154],"likeness.":[155],"Finally,":[156],"smoothed":[159],"adjusted":[161],"before":[162],"output.":[163],"The":[164],"was":[166],"evaluated":[167],"using":[168,180,209],"Mean":[169],"Opinion":[170],"Score,":[171],"ABX,":[172],"MUSHRA,":[173],"Single":[174],"Ease":[175],"Questions":[176],"performance":[178],"benchmarks":[179],"two":[181],"profiles":[183],"of":[184],"varying":[185],"sizes":[186],"lastly":[188],"discussion":[189],"regarding":[190],"game":[191],"implementation.":[192],"Results":[193],"show":[194],"improved":[195],"quality,":[197],"especially":[198],"larger":[201],"profile,":[203],"audience":[205],"positive":[207],"about":[208],"technology":[211],"future":[213],"games.":[214]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
