{"id":"https://openalex.org/W2109535139","doi":"https://doi.org/10.1109/icme.2007.4284657","title":"Generation of Speaker Mixture Voice using Spectrum Morphing","display_name":"Generation of Speaker Mixture Voice using Spectrum Morphing","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W2109535139","doi":"https://doi.org/10.1109/icme.2007.4284657","mag":"2109535139"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2007.4284657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","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/A5102267863","display_name":"Kohei FURUYA","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kohei Furuya","raw_affiliation_strings":["Department of Information and Computer Science, Keio University, Yokohama, Kanagawa, Japan","Keio University, Department of Information and Computer Science, 3-14-1 Hiyoshi, Yokohama-shi, Kanagawa 223-8522, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, Keio University, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"Keio University, Department of Information and Computer Science, 3-14-1 Hiyoshi, Yokohama-shi, Kanagawa 223-8522, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103569990","display_name":"Tsuyoshi Moriyama","orcid":"https://orcid.org/0000-0002-7569-8795"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Moriyama","raw_affiliation_strings":["Department of Information and Computer Science, Keio University, Yokohama, Kanagawa, Japan","Keio University, Department of Information and Computer Science, 3-14-1 Hiyoshi, Yokohama-shi, Kanagawa 223-8522, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, Keio University, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"Keio University, Department of Information and Computer Science, 3-14-1 Hiyoshi, Yokohama-shi, Kanagawa 223-8522, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102149120","display_name":"Shinji Ozawa","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinji Ozawa","raw_affiliation_strings":["Department of Information and Computer Science, Keio University, Yokohama, Kanagawa, Japan","Keio University, Department of Information and Computer Science, 3-14-1 Hiyoshi, Yokohama-shi, Kanagawa 223-8522, Japan. kpeg@ozawa.ics.keio.ac.jp"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, Keio University, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"Keio University, Department of Information and Computer Science, 3-14-1 Hiyoshi, Yokohama-shi, Kanagawa 223-8522, Japan. kpeg@ozawa.ics.keio.ac.jp","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102267863"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.11116323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"344","last_page":"347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9915000200271606,"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":0.9847000241279602,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.805892825126648},{"id":"https://openalex.org/keywords/abx-test","display_name":"ABX test","score":0.7313335537910461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.668470561504364},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.6185036897659302},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.6096678376197815},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.5752573609352112},{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.5284592509269714},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.49525800347328186},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.4872633218765259},{"id":"https://openalex.org/keywords/voice-analysis","display_name":"Voice analysis","score":0.4867589473724365},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.42313092947006226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25245529413223267},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.16801926493644714},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16212454438209534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1522393822669983},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06963765621185303}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.805892825126648},{"id":"https://openalex.org/C60962613","wikidata":"https://www.wikidata.org/wiki/Q287654","display_name":"ABX test","level":2,"score":0.7313335537910461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668470561504364},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.6185036897659302},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.6096678376197815},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.5752573609352112},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.5284592509269714},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.49525800347328186},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.4872633218765259},{"id":"https://openalex.org/C182964821","wikidata":"https://www.wikidata.org/wiki/Q7939498","display_name":"Voice analysis","level":2,"score":0.4867589473724365},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.42313092947006226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25245529413223267},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.16801926493644714},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16212454438209534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1522393822669983},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06963765621185303},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2007.4284657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.571.9737","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.571.9737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mega.t-kougei.ac.jp/contents-design/moriyama/publications/0000344.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6499999761581421,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W621016972","https://openalex.org/W1502984613","https://openalex.org/W1865819098","https://openalex.org/W1926768285","https://openalex.org/W1947917047","https://openalex.org/W1967545654","https://openalex.org/W2331493012","https://openalex.org/W2395578248","https://openalex.org/W4285719527","https://openalex.org/W6619409139","https://openalex.org/W6630257147","https://openalex.org/W6642058129","https://openalex.org/W6711777497"],"related_works":["https://openalex.org/W4318225096","https://openalex.org/W2972481191","https://openalex.org/W2950105263","https://openalex.org/W2166467513","https://openalex.org/W36105149","https://openalex.org/W4286470251","https://openalex.org/W4401661962","https://openalex.org/W2545131480","https://openalex.org/W4294067701","https://openalex.org/W67702164"],"abstract_inverted_index":{"We":[0,17],"propose":[1],"a":[2,6,132],"method":[3,118],"for":[4],"synthesizing":[5],"\"speaker":[7,20],"mixture":[8,21,59,110],"voice\"":[9,22],"that":[10,25,48],"has":[11],"both":[12],"of":[13,28,101,115,122],"two":[14,76],"speakers'":[15],"individualities.":[16],"define":[18],"the":[19,29,34,53,57,63,73,88,108,116,123,139],"as":[23,107,135],"such":[24],"50":[26],"percent":[27,99],"subjects":[30],"who":[31],"listen":[32],"to":[33,51,68,87],"voice":[35],"would":[36,119],"identify":[37,52],"either":[38],"speaker":[39,42,58,109],"A":[40],"or":[41],"B":[43],"in":[44,125],"ABX":[45],"listening":[46],"test":[47],"instructs":[49],"them":[50],"speaker.":[54],"To":[55],"synthesize":[56],"voice,":[60],"we":[61],"parameterize":[62],"spectrum":[64,77],"envelope":[65],"with":[66],"respect":[67],"peaks":[69],"and":[70,90],"valleys,":[71],"find":[72],"correspondence":[74],"between":[75],"envelopes":[78],"from":[79],"independent":[80],"speakers":[81],"using":[82,93],"DP":[83],"matching,":[84],"morph":[85],"one":[86],"other,":[89],"generate":[91],"waveforms":[92],"TD-PSOLA.":[94],"Listening":[95],"experiments":[96],"showed":[97],"60":[98],"out":[100],"56":[102],"synthesized":[103],"voices":[104],"were":[105],"recognized":[106],"voices.":[111],"The":[112],"primary":[113],"application":[114],"proposed":[117],"be":[120],"individualization":[121],"characters":[124],"online":[126],"games":[127],"where":[128],"multiple":[129],"users":[130],"play":[131],"single":[133],"character":[134],"separate":[136],"individuals":[137],"at":[138],"same":[140],"time.":[141]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}