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ԻڹɾԻ੠৘ใॲཧ ࠃཱݚڀ։ൃ๏ਓɹ৘ใ௨৴ݚڀػߏ /*$5 Ϣχόʔαϧίϛϡχέʔγϣϯݚڀॴ ઌਐతԻ੠຋༁ݚڀ։ൃਪਐηϯλʔ ઌਐతԻ੠ٕज़ݚڀࣨ Ԭຊ୓ຏ ˞֤ςʔϚͷεϥΠυΧϥʔ ɹŠԻ੠ೝࣝܥ ɹŠԻ੠߹੒ܥ ɹŠԻ৔ऩ࿥ܥ ɹŠԻ৔੍ޚܥ ࿨Վࢁେֶ೥౓ڭཆڭҭՊ໨ʮੈքͷ৘ใ௨৴ݚڀΛ஌Δʯˏ 1ʙʹͯ Έͳ͞ΜͷઌഐͰ͋Δ ೔ాޫل͞Μ .ɾ/*$5ݚमһ ొஃ

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ࣗݾ঺հ ໨తɾ՝୊ Ի੠ॲཧฤ Ի੠ೝࣝɾԻ੠߹੒ͱ͸ &OEUPFOEԻ੠߹੒࣮ԋσϞ 1ZUIPOϓϩάϥϛϯά ݚڀྫ঺հ ࿨Վࢁେ.೔ాޫل͞Μొஃ ٳܜ ࡶஊ Իڹ৴߸ॲཧฤ Ի৔ऩ࿥ɾ੍ޚɾ࠶ݱͱ͸ Ϛϧνεϙοτ࠶ੜٕज़ ݴޠϚϧνεϙοτ࠶ੜγεςϜͷ࣮૷ͱ೔ຊՊֶະདྷؗͰͷ࣮ূ࣮ݧ ࣮૷JTBMMXFOFFE ·ͱΊ ໨తɾ՝୊࠶ܝ ߨٛͷ֓ཁ

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ࣗݾ঺հ Ԭຊ୓ຏˏ/*$5͚͍͸Μͳ ݚڀςʔϚɿ෺ཧɾ਺ཧϞσϧʹجͮ͘Ի৴߸ɾԻۭؒͷ૑ग़ Իڹ৴߸ॲཧɿಛʹԻ৔ऩ࿥ɾ੍ޚ ϚΠΫϩϗϯɾεϐʔΧΞϨΠ৴߸ॲཧ 
 ೥݄ʙ೥݄ɿ౦๺େ޻ֶ෦ػցܥ ֶ෦ݚڀɿৼಈΠϯςϯγςΟ 
 ೥݄ʙ೥݄ɿ౦๺େֶ৘ใՊֶݚڀՊ म࢜ɾത࢜ɾϙευΫ 
 ೥݄ʙ೥݄ɿ/*$5௒ྟ৔ײϓϩδΣΫτˏ/*$5 
 ೥ʙݱࡏɿࣗ਎ͷՊݚඅ౳!/*$5 Ի੠ॲཧ೥݄ʙݱࡏɿχϡʔϥϧωοτϫʔΫΛ༻͍ͨԻ੠߹੒ɾԻ੠೾ܗੜ੒!/*$5 झຯɿҿΈձ ίϩφͷͨΊօແˠࣗ୐൩ऌঢ়ଶ ɼδϣΪϯά ݄ؒΩϩ ঺հϖʔδ /*$5ݚڀ৬ɾݚڀٕज़৬࠾༻αΠτɿIUUQTXXXOJDUHPKQFNQMPZNFOUSFTFBSDIFSPLBNPUPUBLVNBIUNM ೔ຊԻڹֶձࢽΩϟϦΞύεখಛूʮೋీΛ௥͏΋ͷԿీΛಘΔ ʯɿIUUQTEPJPSHKBTK@ ͦͷଞɿ೥݄ʙ೥݄ɿ೔ຊԻڹֶձֶੜɾएखϑΥʔϥϜװࣄձୈظ୅ද 
 ɹɹɹɹ೥݄ʙɿ೔ຊԻڹֶձ޿ใɾిࢠԽҕһձXJUI੢ଜߨࢣ γεςϜ؅ཧਓ˞௒ॏཁ BOEҏࠤ͞Μ 
 ɹɹɹɹ೥݄ʙɿ೔ຊԻڹֶձؔ੢ࢧ෦ॸ຿װࣄXJUIೖ໺ڭत ݱࡏձܭ؂ࠪ 
 ɹɹɹɹ೥݄ʙɿ࿨Վࢁେֶ.೔ాޫل͞Μ͕/*$5ݚमһͱͯ͠ࢀը ଍ͷΘΒ͡ݚڀੜ׆೥໨ˠ͍ͭʹͭͷ੒Ռ͕༥߹

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͚͍͸ΜͳΤϦΞʹདྷͨ͜ͱ͋Γ·͔͢ 5FBNTͷνϟοτͰճ౴͍ͯͩ͘͠͞෼Ҏ಺ ࣭໰

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ઢܗ୅਺ ԻڹɾԻ੠ڞ௨ ࢲͷ৔߹ɿֶ෦೥࣌ ޻ֶ෦ڞ௨ ʹͯडߨ Իڹ޻ֶ ԻڹɾԻ੠ڞ௨ڞ௨ ࢲͷ৔߹ɿֶ෦೥࣌ʹిؾɾ৘ใܥʹग़޲͍ͯडߨ .͔Βઌ୺Ի৘ใγεςϜݚڀ෼໺഑ଐ಺ఆͷͨΊ σΟδλϧ৴߸ॲཧ ԻڹɾԻ੠ڞ௨ڞ௨ ࢲͷ৔߹ɿम࢜࣌୅͔Βಠֶ ػցܥݚڀࣨͷθϛ͔Կ͔ͱඃͬͯͯडߨͰ͖ͳ͔ͬͨɽɽ ֬཰ɾ౷ܭֶ <ओʹ>Ի੠ ࢲͷ৔߹ɿ/*$5ʹͯ ඞཁʹԠͯ͡౎౓ ಠֶ ػցֶश Ի੠ ࢲͷ৔߹ɿ/*$5ʹͯ ඞཁʹԠͯ͡౎౓ ಠֶ χϡʔϥϧωοτϫʔΫ Ի੠ ࢲͷ৔߹ɿ/*$5ʹͯಠֶ ࠷ޙͷํͰຊ঺հ جૅͱͳΔՊ໨

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໨త ຊߨٛͰ఻͍͑ͨ͜ͱ Ի͸෺ཧݱ৅๏ଇ͕͋Δ Ի͸ద੾ͳ਺ֶɾ෺ཧԋࢉʹΑͬͯมܗɾՃ޻͢Δ͜ͱ͕Ͱ͖Δ ద੾ͳԻڹɾԻ੠৘ใॲཧʹΑͬͯਓʑͷੜ׆Λ๛͔ʹͰ͖Δ ݱ࣮ੈքʹ͸ͳ͍Ի੠ɾԻۭؒΛԻڹɾԻ੠৘ใॲཧʹΑͬͯ૑ग़Մೳ ࣮૷JTBMMXFOFFE ՝୊ ຊߨٛͰ঺հٕͨ͠ज़ͷ͏ͪɼ࠷΋ڵຯਂ͍΋ͷʹ͍ͭͯͦͷཧ༝Λड़΂Α ·ͨɼԻڹɾԻ੠৘ใॲཧٕज़Λ༻͍ͯࠓޙ࣮ݱ͍ͨ͠ɼͯ͠ཉ͍ٕ͠ज़ʹ͍ͭͯ΋ड़΂Α Ϛϧνεϙοτ࠶ੜٕज़ʹ͍ͭͯɼ͜ͷΑ͏ͳ৔໘Ͱ࢖ͬͯཉ͍͠ɼ࢖͏΂͖ͱ͍ͬͨ࢖༻༻్ͱཧ༝Λड़΂Α ্ه఺ʹ͍ͭͯจࣈఔ౓ͷจষʹ·ͱΊΑ ຊߨٛͷ໨తɾ՝୊

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Ի੠ॲཧฤ

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/*$5͕ఏڙ͢ΔԻ੠຋༁ΞϓϦ7PJDF5SBΛྫʹ Ի੠ೝࣝ ສਓͷԻ੠ΛςΩετ΁ม׵ ػց຋༁ ೖྗ͞ΕͨςΩετΛผͷݴޠ΁ม׵ ςΩετԻ੠߹੒ ೖྗ͞ΕͨςΩετΛԻ੠৴߸΁ม׵ Ի੠ೝࣝɾԻ੠߹੒ɾػց຋༁ͱ͸ ˞ίϯχϟΫҎ֎͸ ɹࣗ෼Ͱඳ͖·ͨ͠

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/*$5ϓϩϞʔγϣϯϏσΦʮ/ͷ͍Δະདྷʯ /"্നੴ๖Ի ΑΓൈਮ IUUQTXXXZPVUVCFDPNXBUDI W9%:0#' fi [* ಉ࣌௨༁γεςϜ ݱࡏऔΓ૊ΜͰ͍Δͷ͸͜ͷߴ඼࣭Խɾߴ଎ԽɾଟݴޠԽ

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೉͠͞ͷͭɿೖྗͱग़ྗͷ௕͕͞શવҧ͏ ࣮ࡍʹԻ੠߹੒ͯ͠Έͨྫ ςΩετɿจࣈ ʴ۟఺ ɼԻૉྻɿ Իڹಛ௃ྔ ϝϧεϖΫτϩάϥϜɿ͍ΘΏΔप೾਺ղੳ ɿϑϨʔϜ γϑτྔNT Ի੠೾ܗ αϯϓϦϯάप೾਺L)[ ɿ αϯϓϧ Կ͕೉͍͠ͷ͔ ͋ΒΏΔݱ࣮Λɼ͢΂ͯࣗ෼ͷ΄͏΁Ͷ͡ۂ͛ͨͷͩ BSBZVSVHF/KJUTVPQBVTVCFUFKJCV/OPIPPFOFKJNBHFUBOPEB

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Ի੠ೝࣝͱԻ੠߹੒ɼԿ͕೉͍͠ͷ͔ ڞ௨ɿೖྗͱग़ྗͷ௕͕͞શવҧ͏ˠԻڹಛ௃ྔɿ਺ඦϑϨʔϜɼςΩετɿ਺ेจࣈ ೝࣝɿશਓྨͷൃ࿩͕λʔήοτ ലେͳଟ༷ੑ ɼ࿩଎΋όϥόϥ ߹੒ɿೖྗͱग़ྗͷ௕͞͸͞Βʹશવҧ͏ˠԻ੠೾ܗ L)[ ɿͨͬͨඵͰສαϯϓϧ ͜Ε·ͰͷԻ੠ೝࣝͱԻ੠߹੒ɿϋʔυϧߴ͍ ઐ໳஌ࣝଟ਺ඞཁ ม׵·Ͱʹ͸༷ʑͳϞδϡʔϧΛͦΕͧΕֶशɾ࿈݁ ڞ௨ɿԻڹಛ௃ྔͱςΩετͱͷҐஔؔ܎Λֶश ΞϥΠϝϯτ ೝࣝɿԻڹϞσϧɼൃԻࣙॻɼݴޠϞσϧɼσίʔμʔ ߹੒ɿԻૉܧଓ௕ϞσϧɼԻڹϞσϧɼ೾ܗੜ੒Ϟσϧ Ϙίʔμ ܥྻม׵χϡʔϥϧωοτ // ͷొ৔ɿϋʔυϧ௿͍ ઐ໳஌ࣝ͸ʮ//ʯ͕Χόʔ ͭͷχϡʔϥϧωοτʹΑΔҰׅม׵͕Մೳ ೝࣝɿԻڹಛ௃ྔˠ<ܥྻม׵//>ˠ୯ޠྻ ςΩετ ɹ˞࣮༻͸ࣙॻొ࿥౳ඞཁ ߹੒ɿςΩετ Իૉܥྻ ˠ<ܥྻม׵//>ˠԻڹಛ௃ྔˠ<೾ܗੜ੒//>ˠԻ੠೾ܗ 
 ɹɹɹςΩετ Իૉܥྻ ˠ<ܥྻม׵//ʴ೾ܗੜ੒//>ˠԻ੠೾ܗ ࢀর ೥೔ຊԻڹֶձαϚʔηϛφʔࢿྉ IUUQTJTHEEN-; Ի੠ೝࣝɾԻ੠߹੒ͷ͜Ε·Ͱͱݱࡏ

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Ի੠߹੒ٕज़ͷߴ඼࣭Խɾߴ଎Խ ςΩετ ؆қχϡʔϥϧωοτϫʔΫ ԻڹϞσϧ Իڹಛ௃ྔ ৴߸ॲཧͷجͮ͘ ೾ܗੜ੒Ϟσϧ Ի੠೾ܗ $16ͷΈͰߴ଎ಈ࡞ Ի࣭ʹ՝୊͋Γ طଘͷԻ੠߹੒ ςΩετղੳॲཧ ࡢ೥౓։ൃͨ͠ ߴ඼࣭χϡʔϥϧԻ੠߹੒ ߴ඼࣭ ߴ଎ಈ࡞ʹ͸(16͕ඞཁ ࠓ೥౓౓։ൃͨ͠ ߴ଎ɾߴ඼࣭χϡʔϥϧԻ੠߹੒ ߴ඼࣭ $16ͷΈͰߴ଎ಈ࡞ ςΩετ ςΩετղੳॲཧ Իڹಛ௃ྔ ߴ඼࣭χϡʔϥϧωοτϫʔΫ೾ܗੜ੒Ϟσϧ %J⒎8BWF(SBE ࠃࡍձٞ*$"441Ͱͷ੒Ռ ߴ඼࣭χϡʔϥϧωοτϫʔΫԻڹϞσϧ #-45.5BDP%FD ࠃࡍձٞ"436Ͱͷ੒Ռ (16൛Ϟσϧ Ի੠೾ܗ ςΩετ ςΩετղੳॲཧ Իڹಛ௃ྔ ߴ඼࣭χϡʔϥϧωοτϫʔΫ೾ܗੜ੒Ϟσϧ .VMUJTUSFBN)J'J("/ ࠃࡍձٞ"436Ͱͷ੒Ռ ߴ඼࣭χϡʔϥϧωοτϫʔΫԻڹϞσϧ ೔ຊޠ൛1BSBMMFM5BDPUSPOվ ࠃࡍձٞ"436Ͱͷ੒Ռ $16൛Ϟσϧ Ի੠೾ܗ ࿨Վࢁେ͔Βੈք΁ 453"*()5 ɹՏݪ໊༪ڭत 803-% ɹ৿੎।ڭतˏ໌࣏େ 7PJDF5SBʹ౥ࡌத 
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 ɾӳޠ 
 ɾதࠃޠ 
 ɾؖࠃޠ 
 ɾϕτφϜޠ 
 ɾϑϥϯεޠ 
 ɾεϖΠϯޠ 
 ɾλΠޠ 
 ɾΠϯυωγΞޠ 
 ࣍ͷय़Ϟσϧʹͯ 
 ϛϟϯϚʔޠରԠ༧ఆ ࡢ೥౓։ൃͨ͠ ߴ଎ɾߴ඼࣭χϡʔϥϧԻ੠߹੒ 7PJDF5SB౥ࡌத ߴ඼࣭ $16ͷΈͰߴ଎ಈ࡞ ͭͷωοτϫʔΫ͕ඞཁ ςΩετ ςΩετղੳॲཧ Իڹಛ௃ྔ ߴ඼࣭χϡʔϥϧωοτϫʔΫ೾ܗੜ੒Ϟσϧ .VMUJTUSFBN)J'J("/ ߴ඼࣭χϡʔϥϧωοτϫʔΫԻڹϞσϧ Ի੠೾ܗ ࠓ೥౓։ൃͨ͠ ߴ଎ɾߴ඼࣭χϡʔϥϧԻ੠߹੒ 7PJDF5SB౥ࡌ༧ఆ ͞Βʹߴ඼࣭ $16ͷΈͰߴ଎ಈ࡞ ͭͷωοτϫʔΫͰ0, ςΩετ ςΩετղੳॲཧ தؒಛ௃ྔ ߴ඼࣭χϡʔϥϧωοτϫʔΫ೾ܗੜ੒Ϟ .VMUJTUSFBN)J'J("/ ߴ඼࣭χϡʔϥϧωοτϫʔΫԻڹϞσ &OEUPFOEϞσϧ Ի੠೾ܗ

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+&54 %-JNFUBM *OUFSTQFFDI ςΩετೖྗ͔ΒԻ੠೾ܗΛͭͷχϡʔϥϧωοτͰੜ੒Մೳ ԻڹϞσϧͱ೾ܗੜ੒ϞσϧΛԻڹಛ௃ྔ 
 Λհͣ͞ʹܨ͛ͯಉ࣌ʹֶश ैདྷͷԻ੠߹੒ɼػց຋༁ɼը૾ੜ੒ͰഓΘΕٕͨज़ͷूେ੒ 5SBOTGPSNFS ࣗݾ஫ҙػߏ ɿػց຋༁ ԻૉΞϥΠϝϯτ 'PSXBSECBDLXBSEΞϧΰϦζϜ 
 ɹɹɹɹɹɹɹɹɹɹɿӅΕϚϧίϑܕԻ੠ೝࣝԻ੠߹੒ ఢରతੜ੒Ϟσϧ )J'J("/ ɿը૾ੜ੒ ैདྷͷ෼ׂϞσϧΑΓ΋ߴ඼࣭Λ࣮ݱ &41OFU554ʹ͓͚Δ࣮૷͋Γ 
 IUUQTHJUIVCDPNFTQOFUFTQOFUUSFFNBTUFSFTQOFUHBO@UUTKFUT 
 FTQOFUFHTMKTQFFDIUUTDPOGUVOJOHUSBJO@KFUTZBNM ࣌ؒҎ಺ͷσʔλ $.6"3$5*$ ΍αϯϓϦϯάप೾਺ 
 L)[Ͱ΋ಈ͘ެ։ίʔύεͷΈͰ࣮૷Մೳ 
 IUUQTXXXPLBNPUPDBNFSBDPNOFVSBM@TQFFDI@TZOUIFTJTJOEFYIUNM ࠷ઌ୺ͷ&OEUPFOEχϡʔϥϧԻ੠߹੒ 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 Input text 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 Phoneme sequence AAACf3ichVG7SgNBFD1Z3/EVtRFtFoOPKtyI+KoEGzufUUEl7K4TXdwXu7MJMQjW/oCFlYKKWOg/2PgDFn6CWCrYWHizWRAV9Q4zc+bMPXfOzOieZQaS6DGh1NU3NDY1tyRb29o7OlNd3auBG/qGyBmu5frruhYIy3RETprSEuueLzRbt8Savjdb3V8rCj8wXWdFlj2xZWs7jlkwDU0ylU/1zYfSC6XqayU18IQwdtWSVhQF17fzqTRlKAr1J8jGII04FtzUJTaxDRcGQtgQcCAZW9AQcNtAFgSPuS1UmPMZmdG+wAGSrA05S3CGxuwejzu82ohZh9fVmkGkNvgUi7vPShWD9EBX9EL3dE1P9P5rrUpUo+qlzLNe0wov33nUu/z2r8rmWWL3U/WnZ4kCJiOvJnv3IqZ6C6OmL+4fvyxPLw1WhuiMntn/KT3SHd/AKb4a54ti6QRJ/oDs9+f+CVZHM9nxzNjiaHpmLP6KZvRjACP83hOYwRwWkONzD3GBG9wqCWVYyShUS1USsaYHX0KZ+gDAwZO/ Output raw speech waveform 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 Mel-spectrogram AAACcHichVHLSgMxFD0d3/VVdSO4sFoq4qJkRFRcFdy49NUH1FIyY9TBeTmTFmvxB/yBLtyoICJ+hht/wIWfIO6s4MaFt9MB0aLekOTk5J6bk0RzTcOXjD1FlI7Oru6e3r5o/8Dg0HBsZDTrO2VPFxndMR0vr3FfmIYtMtKQpsi7nuCWZoqcdrja3M9VhOcbjr0tq64oWnzfNvYMnUuiitviWMa5zc3qifBKsQRLsSDi7UANQQJhrDuxG+xgFw50lGFBwIYkbILDp1aACgaXuCJqxHmEjGBf4BRR0pYpS1AGJ/aQxn1aFULWpnWzph+odTrFpO6RMo4ke2S3rMEe2B17Zh+/1qoFNZpeqjRrLa1wS8Nn41vv/6osmiUOvlR/epbYw3Lg1SDvbsA0b6G39JWTemNrZTNZm2FX7IX8X7Indk83sCtv+vWG2DxHlD5A/fnc7SA7n1IXUwsb84n0QvgVvZjANGbpvZeQxhrWkaFzj1DHBS4jr8q4MqlMtVKVSKgZw7dQ5j4BObuPHA== Text analyzer 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 Transformer-based decoder 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 Embedding layer 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 Transformer-based encoder 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 Variance adaptor 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 FastSpeech2-based acoustic model AAACfnichVE9TxtBEH1cCHGcgE3SJKI5xQLRYMaWFexUltKk5MuABMi6O8b2ifvS3trIsaL0+QMpUiWSFUWRkh9Bwx+g4CcgSiKloWB8PhSlAGa1O7Nv58283bUjz4010dmE8WDy4dSjzOPsk6fTM7n87LOtOOwqhxtO6IVqx7Zi9tyAG9rVHu9Eii3f9njbPnw7Ot/usYrdMNjU/Yj3fasduC3XsbRAzfzLOGJ2OuaR1eNWqHyzzQErS4eqmS9QsUa1CpFJRUpMggqVV8ols5QiBaS2Gua/Yw8HCOGgCx+MAFpiDxZiGbsogRAJto+BYEoiNzlnfEBWuF3JYsmwBD2UtS273RQNZD+qGSdsR7p4MpUwTczTKf2gSzqhn3ROV7fWGiQ1Rlr64u0xl6Nm7tOLjb/3snzxGp1/rDs1a7RQTbS6oj1KkNEtnDG/9/7z5cab9fnBAn2jC9H/lc7oWG4Q9P44wzVe/4KsfMDNK5u3B1vlYul1sbJWLtQr6VdkMIdXWJT3XkEd77CKhvT9iCF+4bcBY8FYMpbHqcZEynmO/8yoXgN1IZOn speech waveform generator 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 Alignment 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 module 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 h 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 d 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 : Training only 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 HiFi-GAN-based ࣝผثχϡʔϥϧωοτ ఢରతֶश ("/

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1ZUIPO࣮ԋσϞ

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%FNP &41OFU554Ͱֶशͤͨ͞Ϟσϧ αϯϓϦϯάप೾਺ɿL)[ 3FBMUJNFGBDUPS 35'ɿඵؒͷԻ੠Λ߹੒͢Δͷʹཁ͢Δ࣌ؒ ɿ͓Αͦˏ..BD#PPL1SP ֶशʹ༻͍ͨίʔύε͸/*$5ΑΓެ։༧ఆ ެ։४උத ೔ຊޠɿஉঁ֤ จɼӳޠɿஉঁ֤ จ

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Ի੠߹੒Ԡ༻ྫ Šࢲͷ୅ΘΓʹ:PVUVCFϏσΦͰ࿩͍ͯͨͩ͘͠Š IUUQTZPVUVCF&);06['X#J

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ܥྻม׵ܕχϡʔϥϧωοτͷಛ௃ ೖྗͱग़ྗͷϖΞσʔλ͕͋Ε͹͍Ζ͍Ζͱ΋࢖͑Δ ྫɿςΩετˡˠԻ੠ ຋༁ɾೝࣝɾ߹੒Ͱಉ͡ωοτϫʔΫ͕࢖͑ΔͷͰॳֶऀͷෑډ͸௿͍ Ի੠෼໺͚ͩͰ΋Ԡ༻͸༷ʑ ը૾ೝࣝ౳Ͱ΋ଟ਺࠾༻ ࿩ऀμΠΞϦθʔγϣϯɿऩ࿥Ի੠ˠ୭͕͍ͭ࿩͔ͨ͠ ෳ਺࿩ऀԻ੠ೝࣝɿऩ࿥Ի੠ˠ୭͕ԿΛ࿩͔ͨ͠ &OEUPFOEԻ੠຋༁ɿ೔ຊޠԻ੠ˠɹɹɹɹɹˠӳޠ຋༁Ի੠ Ի੠ڧௐɿϊΠδʔԻ੠ˠΫϦʔϯԻ੠ Իݯ෼཭ɿࠞ߹Ի੠ˠ෼཭Ի੠ ԻڹΠϕϯτݕग़ɿऩ࿥೾ܗˠΠϕϯτϥϕϧ ϑϥΠύϯͰྉཧΛᖱΊΔԻɼͳͲ ੠࣭ม׵ɿ ྫ ʮগ೥ʯͷԻ੠ˠɹɹɹɹɹɹˠʮ͓ͬͪΌΜʯͷԻ੠ χϡʔϥϧωοτͷԠ༻ྫ

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௨ৗͷ ੠࣭ม׵ ೖྗԻ੠ΛҟͳΔ࿩ऀͷԻ੠΁ͱม׵ ೖྗԻ੠ͷߴ͞ͷΈΛมߋ ΫϩεϦϯΨϧ੠࣭ม׵ ಉ͡࿩ऀͷ੠ͰҟͳΔݴޠ΁ͱม׵ ྫɿࢲͷ੠ͰྲྀெͳӳޠԻ੠Λग़ྗ ੠࣭ม׵σϞ ࿩ऀ"ˠ ˠ࿩ऀ# ࿩ऀ" ೔ຊޠ ˠ ˠ࿩ऀ" ӳޠ ˞ڞʹਆށେमྃদݪܓ྄͞Μ ࡢ೥౓/*$5ݚमੜ ͷݚम੒Ռ ࿩ऀ"ˠ ˠ࿩ऀ" ௿͍PSߴ͍

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$16ܕߴ଎Ի੠߹੒Ϟσϧɿࡢ೥౓ݚमһਆށେদݪܓ྄͞Μ ϑϧόϯυ-1$/FUɿ*&&&"DDFTTɼ೔ຊԻڹֶձ೥ळقݚڀൃදձˏΦϯϥΠϯ ֶੜ༏लൃද৆ $16ܕϞσϧͷൺֱɿ"DPVTU4DJ5FDIYɼ೔ຊԻڹֶձݚڀൃදձY ো֐ऀԻ੠ͷ໌ྎ౓վળɿ*$"441ɼ೔ຊԻڹֶձ೥य़قݚڀൃදձˏΦϯϥΠϯ 1FSJPE)J'*("/ˠ)BSNPOJD/FUɿ೔ຊԻڹֶձ೥य़قݚڀൃදձɼ೥ळقݚڀൃදձ ੠ͷߴ͞Λ੍ޚՄೳͳԻ੠߹੒Ϟσϧɿদݪ͞Μˠਆށେ.ਗ਼ਫ૱ଠ͞Μ جຊप೾਺ೖྗͳ͠Ϟσϧͷݕ౼ɿ೔ຊԻڹֶձ೥ळقݚڀൃදձˏ๺ւಓՊֶେֶ )BSNPOJD/FUɿ೔ຊԻڹֶձ೥य़قݚڀൃදձˏΦϯϥΠϯ $16ܕߴ଎Ի੠߹੒Ϟσϧͷߴ଎Խɿਆށେ.ࢁԼཅੜ͞Μ '$)J'J("/ɿ೔ຊԻڹֶձ೥ळقݚڀൃදձˏ๺ւಓՊֶେֶ ֶੜ༏लൃද৆ Վ੠߹੒΁ͷదԠɿ೔ຊԻڹֶձؔ੢ࢧ෦ୈճؔ੢ࢧ෦एखݚڀऀަྲྀݚڀൃදձˏಉࢤࣾେֶژాล ੠࣭ม׵΁ͷదԠɿ೔ຊԻڹֶձ೥य़قݚڀൃදձˏΦϯϥΠϯ Ի੠ೝࣝίʔύεΛ༻͍ͨෳ਺࿩ऀԻ੠߹੒ͷߴ඼࣭Խɿ࿨Վࢁେ.೔ాޫل͞Μ )J'J("/Λ༻͍ͨଳҬ֦ுͷݕ౼ɿ೔ຊԻڹֶձ೥ळقݚڀൃදձˏ๺ւಓՊֶେֶ ෳ਺࿩ऀԻ੠߹੒΁ͷదԠɿ೔ຊԻڹֶձ೥य़قݚڀൃදձˏΦϯϥΠϯ /*$5ݚमһݚम੒Ռ

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z 氏名:日田 光紀(M1) z 研究テーマ:音声認識コーパスを用いた複数話者テキスト音声合成 自己紹介 z 経歴: 学部 - 和歌山大 システム工学部 MDメジャー 西村研 • 卒業研究は音源分離 大学院(現在) - 和歌山大 システム工学研究科 知的モデリングクラスタ 西村研 NICT 研修生 z 学部時代(特に1～2年時)にもっとやっていればよかったこと 開発経験(遊び程度でも)・音楽(興味があること、何が役立つかわからん)

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【本研究】:音声認識用データセット(低音質かつ雑音あり)を使用 研究目的 テキスト 解析 音響 モデル ニューラル ボコーダ 音声合成用データセット 100話者、各話者130文 中規模・高音質 (12kHz)で学習 音声認識用データセット 1418話者、659時間 大規模・中品質 (8kHz)で学習 【目的】 1. より多くの話者に対応した複数話者TTSの実現 2. 狭帯域かつ雑音等を含む低い品質の参照音声に対応した高品質な合成 テキスト 参照音声(8kHz) 合成音声 (12kHz)

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実験結果 8 kHz から 12 kHz までの成分が帯域拡張されていることが確認できる 合成音声(Tacotron2＋HiFi-GAN) テキスト:こんにちわ しゃべってほしい内容 参照音声:学習に使用していない音声 この人の声でしゃべってほしい

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੠ͷߴ͞Λ੍ޚՄೳͳԻ੠߹੒Ϟσϧ )BSNPOJD/FU ߴௐ೾ೖྗʹՃ͑ͯ-BZFSXJTF2VBTJ1FSJPEJD৞ΈࠐΈΛಋೖ 2VBTJ1FSJPEJD৞ΈࠐΈɿ2118(ɼV4'("/ʹͯ࠾༻ˠന৭ࡶԻೖྗܕ )J'J("/ˠΞοϓαϯϓϦϯάܕˠ-BZFSXJTF2VBTJ1FSJPEJD৞ΈࠐΈͷఏҊ 
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 fo in inference 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 Excitation 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 network 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 Conv 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 Conv 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 Conv 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 Conv 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 Conv 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 (or Arbitrary waveforms) 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 AAACaXichVHLTsJAFD3UF+ID0A3RDZFgXJHBEDWuiG5c8pBHAoS0ddBKaZu2kCDxB1y5M+pKE2OMn+HGH3DBJxiWmLhx4aU0MUrUO5mZM2fuuXNmRjJUxbIZ63qEsfGJySnvtG9mdm7eHwgu5C29aco8J+uqbhYl0eKqovGcrdgqLxomFxuSygtSfXewX2hx01J0bd9uG7zSEA81pabIok1UvqwbatOqBiIsxpwIj4K4CyJwI6UH7lHGAXTIaKIBDg02YRUiLGolxMFgEFdBhziTkOLsc5zCR9omZXHKEImt03hIq5LLarQe1LQctUynqNRNUoYRZS/sgfXZM3tkr+zj11odp8bAS5tmaajlRtV/Fsq+/6tq0Gzj6Ev1p2cbNWw5XhXybjjM4BbyUN86uehntzPRziq7ZT3yf8O67IluoLXe5Ls0z1zDRx8Q//ncoyC/HotvxBLpRCS5436FF8tYwRq99yaS2EMKOTr3GOe4xJWnJwSFkLA0TBU8rmYR30KIfALonoxK 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 Waveform 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 Upsampling 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 GCI in training 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 n + 1 th T.Conv block 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 n th T.Conv block 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 T.Conv block [5⇥] 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 T.Conv block [4⇥] 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 T.Conv block [4⇥] 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 T.Conv block [3⇥] 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 Upsampling factor 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 An = [5, 4, 3, 4] 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 Transposed conv 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 MRF 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 PDCNN 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 Transposed conv 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 1st layer 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 2nd layer 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 dn,1 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 kn,j 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 n layers 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 PDCNN

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)BSNPOJD/FUσϞԻ੠ ௨ৗൃ࿩ WaveNet Original WORLD uSFGAN HiFi-GAN (melspc) Harmonic-Net + Mean opinion score (a) Normal condition (1.0 × fo ) of male speech WaveNet Original WORLD uSFGAN HiFi-GAN (melspc) Harmonic-Net + Mean opinion score (b) Normal condition (1.0 × fo ) of female speech WORLD uSFGAN HiFi-GAN Harmonic-Net + Mean opinion score (c) 0.5 × fo condition of male speech WORLD uSFGAN HiFi-GAN Harmonic-Net + Mean opinion score (d) 0.5 × fo condition of female speech WORLD uSFGAN HiFi-GAN Harmonic-Net + Mean opinion score (e) 1.5 × fo condition of male speech WORLD uSFGAN HiFi-GAN Harmonic-Net + Mean opinion score (f) 1.5 × fo condition of female speech

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(b) 0.5 × fo condition WORLD HiFi-GAN Harmonic-Net Mean opinion score PeriodNet (a) Normal (1.0 × fo ) condition WORLD HiFi-GAN Mean opinion score PeriodNet (melspc) Original (c) 1.5 × fo condition WORLD HiFi-GAN Harmonic-Net Mean opinion score PeriodNet Harmonic- Net )BSNPOJD/FUσϞԻ੠ Վ੠߹੒

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ຊ೔ͷߨٛҎ֎Ͱ߹੒Ի੠ԻΛͲ͜Ͱฉ͍ͨ͜ͱ͕͋Γ·͔͢ 5FBNTͷνϟοτͰճ౴͍ͯͩ͘͠͞෼Ҏ಺ ࣭໰

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౎ಓ෎ݝ੍೼͸೥ ੩Ԭݝপ௡ࢢग़਎ ʙ೥ ɿ౦ւɾؔ౦ΤϦΞ͕ओ ౦๺େ࣌୅ ೥ʙ೥ ɿ๺ւಓπʔϦϯάɼ౦๺ɼؔ੢ΤϦΞ౳੍೼ɼ࢒Δ͸࢛ࠃɼ۝भ ࿨Վࢁݝ͸೥Նʹߦͬͨ ઋ୆͔Β੨य़੾ූͰؔ੢ཱྀߦͰͷ ന඿͕ॳΊͯ /*$5࣌୅ ೥ʙ ɿ೥ՆٳΈ۝भπʔϦϯάɼ೥݄࢛ࠃπʔϦϯά *$"441ৼସٳ೔ Ի੠෼໺Ͱࣗ਎ॳͷࠃࡍϫʔΫγϣοϓ"436ˏԭೄʹͯίϯϓϦʔτ ࿨Վࢁେֶདྷ๚ ೥݄೔ɿՏݪڭत࠷ऴߨٛ ੢ଜཽҰ͕ೋਓ ˏ೔ຊԻڹֶձ ࢲͷֶੜ࣌୅νϡʔλʔˠ/*$5ݩԻڹνʔϜϦʔμʔ͸3ZPVJDIJ͞Μ ౦๺େˠ/*$5 ͷํ 
 ˠ೔ా͞Μ͕ݚमһͱͳΓ3ZPVJDIJ͞Μͱ3ZVJDIJ͞Μ྆ํͱͷڞஶίϯϓϦʔτ ೔ా͞Μͱͷର໘ ͚͍͸Μͳདྷ๚͓ΑͼʙͷԻڹֶձˏ๺ւಓՊֶେֶɼͷ࣮͸·ͩճ͚ͩ ࡶஊ ٳܜ

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Իڹ৴߸ॲཧฤ

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εϐʔΧ͕ͭͷ৔߹ Ͳ͕ͬͪૣ͘ಧ͘ Ԡ༻ɿಉ じ ࣌ؒ で ಧ͘ʹ͸ ど ͏͢Ε͹͍͍͔ Ͳ͔ͬͪΒͷํ͕Ի͕େ͖͍ Ԡ༻ɿಉ じ ԻྔͰಧ͘ʹ͸Ͳ͏͢Ε͹͍͍͔ ϚΠΫϩϗϯ͕ͭͷ৔߹ Ͳͬͪʹૣ͘ಧ͘ Ԡ༻ɿಉ じ ࣌ؒ で ࿥Ի͢Δʹ͸ ど ͏͢Ε͹͍͍͔ Ͳͬͪͷํ͕Ի͕େ͖͘࿥ΕΔ Ԡ༻ɿಉ じ ԻྔͰ࿥Իʹ͸Ͳ͏͢Ε͹͍͍͔ ϚΠΫϩϗϯɾεϐʔΧΞϨΠΛ༻͍ͨԻۭؒॲཧʹؔ͢Δݚڀ ऩ࿥ɿ ど ͷϚΠΫΛ ど Ε ぐ Β͍ͷԻྔ で ɼ ど Ε だ ͚஗ΕͯԻΛऔΔ͔Λ෺ཧ਺ֶ౳ʹΑͬͯٻΊΔ ࠶ੜɾ੍ޚɿ ど ͷε ピ ʔΧΛ ど Ε ぐ Β͍ͷԻྔ で ɼ ど Ε だ ͚஗ΕͯԻΛग़͔͢Λ෺ཧ਺ֶ౳ʹΑͬͯٻΊΔ Իͷ఻ൖͱϚΠΫϩϗϯͱεϐʔΧͷؔ܎

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౸དྷԻ৔ܕΞϯϏιχΫε ೾໘߹੒๏ɼεϖΫτϧআࢉ๏ DIٿܗϚΠΫϩϗϯΞϨΠˏ౦๺େ DIแғܕεϐʔΧΞϨΠˏ౦๺େ DIแғܕϚΠΫϩϗϯΞϨΠˏ౦๺େ DIٿܗεϐʔΧΞϨΠˏ/*$5 DIೋ௚ઢϚΠΫϩϗϯΞϨΠˏ/*$5 DIೋ௚ઢεϐʔΧΞϨΠˏ/*$5 ์ࣹԻ৔ܕΞϯϏιχΫε Ի৔ऩ࿥ɾ࠶ݱͱ͸ ऩ࿥ͨ͠Իۭؒͦͷ΋ͷΛผͷ৔ॴͰ஧࣮ʹ࠶ݱ͢Δ

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ϚΠΫϩϗϯΞϨΠɾεϐʔΧΞϨΠΛͲ͜Ͱݟͨ͜ͱ͕͋Γ·͔͢ 5FBNTͷνϟοτͰճ౴͍ͯͩ͘͠͞෼Ҏ಺ ࣭໰

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ଟνϟωϧεϐʔΧΛ༻͍ͨہॴ࠶ੜɾϚϧνεϙοτ࠶ੜɾϚϧνԻ৔੍ޚ B ہॴ࠶ੜ ͋ΔྖҬʹͷΈ͋ΔಛఆͷԻ͕ฉ͑͜ɼଞͷ৔ॴͰ͸ฉ͑͜ͳ͍ 
 ˠԻѹͷΈΛ੍ޚ C Ϛϧνεϙοτ࠶ੜ ͦΕͧΕͷྖҬʹͦΕͧΕผͷԻ͕ฉ͑͜Δ 
 ˠԻѹͷΈΛ੍ޚ ඒज़ؗ౳Ͱͷඇ઀৮ଟݴޠΨΠμϯε ςϨϫʔΫʹ͓͚ΔύʔιφϧԻۭؒܗ੒ D ϚϧνԻ৔੍ޚ ͦΕͧΕͷྖҬͰผʑͷԻ৔Λಉ࣌ʹ࠶ݱ 
 ˠԻѹ͚ͩͰͳ͘೾໘ͦͷ΋ͷΛ੍ޚ શํ޲ͷ೾໘Λ੍ޚ͢ΔͨΊʹแғܕ ԁܗɼٿܗ౳ ΞϨΠΛ࢖༻ Bright zone (Listening area) (null) (null) (null) (null) Dark zone (Quiet area) (null) (null) (null) (null) B ہॴ࠶ੜ ͜Μʹͪ͸ )FMMP 㟬޷ Japanese area (null) (null) (null) (null) English area (null) (null) (null) (null) Chinese area (null) (null) (null) (null) C Ϛϧνεϙοτ࠶ੜ D ϚϧνԻ৔੍ޚ ແԻ Ի৔੍ޚͷԠ༻ྫ ࣮ੜ׆Ͱ͸ى͜Γಘͳ͍ԻۭؒΛ૑ग़Մೳ ˠίϩφՒʹ͓͍ͯ΋ॏཁ

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ݪཧ Իͷฉ͑͜ΔྖҬͷԻѹΛɼฉ͑͜ͳ͍ྖҬͷԻѹΛ 
 ͱͨ͠৔߹ʹ֤εϐʔΧͷ࠶ੜ৴߸ΛٻΊΔٯ໰୊ Ի৔ͷہॴ࠶ੜٕज़ y x z r0 rref Φ φs P(rref , φ, 0, ω) = 1 P(rref , φ, 0, ω) = 0 Bright zone Circular loudspeaker array Reference circle Dark Zone x Linear sound source lb xb Bright Dark shift Dark Window function y y = yb P(x, yb) = 0 ௚ײతͳઆ໌ ˞ݫີͰ͸͋Γ·ͤΜ z = 0 [m] [dB] -1 0 1 X axis [m] -1.5 -1 -0.5 0 0.5 1 1.5 Y axis [m] -40 -30 -20 -10 0

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DI௚ઢεϐʔΧΞϨΠσϞγεςϜ ೥൛

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௚ઢεϐʔΧΞϨΠΛ༻͍ͨϚϧνεϙοτ࠶ੜγεςϜ ͜Μʹͪ͸ )FMMP 㟬޷ Japanese area (null) (null) (null) (null) English area (null) (null) (null) (null) Chinese area (null) (null) (null) (null) Bright zone (Listening area) (null) (null) (null) (null) Dark zone (Quiet area) (null) (null) (null) (null) Իͷฉ͑͜Δ ΤϦΞ Իͷฉ͑͜ͳ͍ ΤϦΞ ॏͶ߹Θͤ 50LBNPUP *$"441 50LBNPUPBOE"4BLBHVDIJ +"DPVTU4PD"N N খܕԽ͍ͨ͠

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νϟωϧখܕԁܗεϐʔΧΞϨΠͷ࣮૷ɿԬຊΒɼԻߨ࿦ɼ೥݄ Ͱ͖Δ͚ͩখ͘͞ˠ௚ܘΘ͔ͣDN DIΞϯϓ 3.&%JHJGBDF64#ಉࠝ ɾέʔϒϧΛؚΊͯग़ுσϞՄೳ λϒϨοτͰϚϧνεϙοτ Ի৔ ΛճసՄೳɿԬຊΒɼԻߨ࿦ɼ೥݄ 13.44 cm 2.5 cm 3.1 cm 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 13.44 cm DIΞϯϓ ϙʔλϒϧσϞγεςϜͷ࣮૷

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νϟωϧখܕԁܗεϐʔΧΞϨΠΛ༻͍ͨݴޠԻ੠Ϛϧνεϙοτ࠶ ੜγεςϜ ຋༁͞Ε֤ͨݴޠͷԻ੠͕ͦΕͧΕҧͬͨ৔ॴͰฉ͑͜ΔԻ੠຋༁ͷ৽ͨͳ6*ͱ࣮ͯ͠૷ ϦΞϧσϞల࣮ࣔ੷ ೥݄೔ ۚ ɿ೔ຊԻڹֶձळقݚڀൃදձˏ๺ւಓՊֶେֶ ೥݄೔ ໦ ɼ ۚ ɿ͚͍͸Μͳ3%ϑΣΞˏ"53 ೥݄೔ ໦ ɼ ۚ ɿژ౎εϚʔτγςΟΤΩεϙˏ,*$, ೥݄೔ ౔ ʙ ೔ ɿ࣮ূ࣮ݧˏ೔ຊՊֶະདྷؗ )FMMP χϡʔϥϧݴޠࣝผ χϡʔϥϧԻ੠ೝࣝ χϡʔϥϧ ػց຋༁ Ϛϧνεϙοτ ࠶ੜϑΟϧλ ଟݴޠ χϡʔϥϧ Ի੠߹੒ )FMMP ͜Μʹͪ͸ 㟬޷ উ֞ೞࣁਃ B DIԁܗεϐʔΧ C ݴޠσϞγεςϜ ೔ຊޠ ӳޠ தࠃޠ ؖࠃޠ DI εϐʔΧ DN ߏஙͨ͠σϞγεςϜ /*$5Ͱͷຊ຿ͷݚڀ੒Ռ

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ͭͷεϐʔΧ͔Β୯७ʹݴޠͷԻ੠Λ࠶ੜͨ͠৔߹ ଞͷԻ੠͕ࠞͬͯ͟ฉ͑ͯ͜͠·͏ ௨ৗ࠶ੜ ೔ຊޠ ӳޠ தࠃޠ ؖࠃޠ ݴޠͱ΋χϡʔϥϧ߹੒Ի੠ 7PJDF5SB౥ࡌϞσϧ

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νϟωϧͷεϐʔΧΛ༻͍ͯϚϧνεϙοτ࠶ੜͨ͠৔߹ ํ޲͝ͱͷ໨తԻ੠͕͸͖ͬΓͱฉ͑͜Δ Ϛϧνεϙοτ࠶ੜ 50LBNPUP 8"41"" Ի͕ฉ͑͜ΔΤϦΞͷԻѹɿ Ի͕ฉ͑͜ͳ͍ΤϦΞͷԻѹɿ̌ ˠ৴߸ॲཧʹΑͬͯϑΟϧλΛܭࢉ ೔ຊޠ ӳޠ தࠃޠ ؖࠃޠ

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νϟωϧԁܗΞϨΠͷϢχοτΛ௚ઢΞϨΠʹ࢖༻ ໿Nʹ୹ॖɼ࣏۩͸%*:ײຬࡌ νϟωϧ௚ઢΞϨΠվ

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݄೔ ౔ ʙ ೔ ˏ೔ຊՊֶະདྷؗ 'δΦɾίεϞε ԁܗΞϨΠ ͓Αͼϊʔϕϧ2 ௚ઢΞϨΠ ΛσϞలࣔ 
 IUUQTXXXOJDUHPKQQVCMJDJUZUPQJDTIUNM Ϛϧνεϙοτ࠶ੜͷ࣮ূ࣮ݧ

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ԁܗΞϨΠಈը

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௚ઢΞϨΠಈը

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೔ຊՊֶະདྷؗʹߦͬͨ͜ͱ͕͋Γ·͔͢ 5FBNTͷνϟοτͰճ౴͍ͯͩ͘͠͞෼Ҏ಺ ࣭໰

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Ի੠Ϛϧνεϙοτ࠶ੜͷࣾձల։ ݚڀ੒ՌΛੈͷத΁ )1΍ಈըͷ࡞੒ɾެ։ 
 ٕज़঺հ࣮ࢪத 音の聞こえるエリアを制御する次世代のテクノロジー 音声マルチスポット再生技術 国立研究開発法人情報通信研究機構（NICT）が開発した、 音が聞こえる場所と聞こえない場所を自由に作る、音空間制御技術です。 音波は通常、全方向に広がりますが、本技術では多数のスピーカを用いて不要な 音波を打ち消して聞こえなくすることで、特定のエリアにだけ音を届けることができます。 1つのエリアだけではなく、複数のエリアへ違う音声を出し分けることも可能です。 音声マルチスポット再生技術とは？ 音声マルチスポット再生スピーカ どこでも実演デモ スーツケースで持ち運びが できるほどの小型化を実現 しました。 実際に体験したい方は お気軽にご相談ください。 この技術がもたらす「新しい音空間」を共に創り上げてくださる企業様からのご連絡をお待ちしております。 お気軽に下記までお問い合わせください！ 岡本 拓磨（おかもと たくま）sfc_oi@ml.nict.go.jp NICT ユニバーサルコミュニケーション研究所 先進的音声翻訳研究開発推進センター(ASTREC) 先進的音声技術研究室 主任研究員 Webページ公開中 ぜひアクセスください https://ast- astrec.nict.go.jp/Multiple SoundSpotSynthesis/ 本技術を応用し、展示会ブースやエンターテインメント施設、自動運転車、 危険エリアなど様々な分野において、「新しい音空間」を創ることが可能です。 私たちが提案する音声マルチスポット再生技術で可能になること ɹɹɹৄ͘͠͸ٕज़঺հ)1ʹͯ IUUQTBTUBTUSFDOJDUHPKQ.VMUJQMF4PVOE4QPU4ZOUIFTJT ͚͍͸Μͳ3%ϑΣΞͰ഑෍ͨ͠νϥγ

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ٕज़঺հಈը࠶ੜ ෼ඵ IUUQTZPVUVCF*-SN,3Y,

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͜ΜͳԠ༻ྫ΋ΞϦ &OEUPFOEଟݴޠϚϧνεϙοτ࠶ੜܕಉ࣌௨༁γεςϜ Ԡ༻ઌ͸㱣 ೔ຊޠ͚͕ͩ ฉ͑͜ΔΤϦΞ ͜Μʹͪ͸ )FMMP 㟬޷ ӳޠ͚͕ͩ ฉ͑͜ΔΤϦΞ தࠃޠ͚͕ͩ ฉ͑͜ΔΤϦΞ ͜Μʹͪ͸ ଟݴޠ χϡʔϥϧ Ի੠ೝࣝ ͜Μʹͪ͸ ςΩετ ଟݴޠ χϡʔϥϧ ػց຋༁ ͜Μʹͪ͸ ςΩετ 㟬޷ ςΩετ )FMMP ςΩετ ଟݴޠ χϡʔϥϧ Ի੠߹੒ ͜Μʹͪ͸ Ի੠ 㟬޷ Ի੠ )FMMP Ի੠ Ϛϧνεϙοτ ࠶ੜ ܥྻม׵χϡʔϥϧωοτ

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ݚڀΛՃ଎ͤ͞Δެ։࣮૷Ϟσϧ ओʹ1ZUIPO ɾίʔύε (JUIVCʹΑΔιʔείʔυͷެ։ ެ։ίʔύε Ի੠߹੒ ɿ-+4QFFDI ӳޠ ɼ7$5, ӳޠෳ਺࿩ऀ ɼ-JCSJ554 ӳޠෳ਺࿩ऀ ɼ+465 ೔ຊޠ ɼ +74 ೔ຊޠෳ਺࿩ऀ ɼʜ &41OFUFOEUPFOETQFFDIQSPDFTTJOHUPPMLJU ܥྻม׵ &OEUPFOE ༻Ի੠ॲཧπʔϧΩοτɿӳޠ͚ͩͲ ओ࠵ऀؚΊ ೔ຊਓ΋ଟ਺ࢀը Ի੠ೝࣝɼԻ੠߹੒ɼԻ੠຋༁ɼԻ੠ڧௐɼ੠࣭ม׵ɼԻ੠ݴޠཧղɼͰಉؔ͡਺͕࢖ΘΕ͍ͯΔˠԠ༻ઌ㱣 Α͘Θ͔Βͳ͍ ࣮૷ͯ͠ΈΑ͏ (PPHMFͷܥྻม׵ 5SBOTGPSNFS ͷ࿦จλΠτϧ l"UUFOUJPOJTBMMZPVOFFEz ˣ ࣮૷JTBMMXFOFFE ཧղ͢Δʹ͸࣮૷͋ΔͷΈମͰཧղ͢Δ ࣗ਎ͷ࣮૷͕ಈ͘ˠೝࣝͰ͖ΔPS߹੒Ͱ͖Δˠײແྔ

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࣮૷͔ͨ͠Βͦ͜ɾɾɾ Έͳ͞·ʹฉ͍ͯ΋Β͑·ͨ͠ ࣮૷JTBMMXFOFFE 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 13.44 cm ࡢ೥౓։ൃͨ͠ ߴ଎ɾߴ඼࣭χϡʔϥϧԻ੠߹੒ 7PJDF5SB౥ࡌத ߴ඼࣭ $16ͷΈͰߴ଎ಈ࡞ ͭͷωοτϫʔΫ͕ඞཁ ςΩετ ςΩετղੳॲཧ Իڹಛ௃ྔ ߴ඼࣭χϡʔϥϧωοτϫʔΫ೾ܗੜ੒Ϟσϧ .VMUJTUSFBN)J'J("/ ߴ඼࣭χϡʔϥϧωοτϫʔΫԻڹϞσϧ Ի੠೾ܗ ߴ඼ ߴ &O 音の聞こえるエリアを制御する次世代のテクノロジー 音声マルチスポット再生技術 国立研究開発法人情報通信研究機構（NICT）が開発した、 音が聞こえる場所と聞こえない場所を自由に作る、音空間制御技術です。 音波は通常、全方向に広がりますが、本技術では多数のスピーカを用いて不要な 音波を打ち消して聞こえなくすることで、特定のエリアにだけ音を届けることができます。 1つのエリアだけではなく、複数のエリアへ違う音声を出し分けることも可能です。 音声マルチスポット再生技術とは？ 音声マルチスポット再生スピーカ どこでも実演デモ スーツケースで持ち運びが できるほどの小型化を実現 しました。 実際に体験したい方は お気軽にご相談ください。 この技術がもたらす「新しい音空間」を共に創り上げてくださる企業様からのご連絡をお待ちしております。 お気軽に下記までお問い合わせください！ 岡本 拓磨（おかもと たくま）sfc_oi@ml.nict.go.jp NICT ユニバーサルコミュニケーション研究所 先進的音声翻訳研究開発推進センター(ASTREC) 先進的音声技術研究室 主任研究員 Webページ公開中 ぜひアクセスください https://ast- astrec.nict.go.jp/Multiple SoundSpotSynthesis/ 本技術を応用し、展示会ブースやエンターテインメント施設、自動運転車、 危険エリアなど様々な分野において、「新しい音空間」を創ることが可能です。 私たちが提案する音声マルチスポット再生技術で可能になること

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έʔϒϧ΋શͯࣗ࡞ ࣮૷ͷཪଆ ௚ઢΞϨΠͷ࣏۩͸DN௒͑Ͱ഑ୡͯ͠΋Β͑ͣɽɽ ະདྷؗ·Ͱ࣋ࢀ ిंɾ৽װઢ͸N·Ͱ0,

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Իڹֶೖ໳ॻ੶ ࢲ΋ฤूҕһ߲໨ࣥච

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χϡʔϥϧωοτͷجૅ͸ͪ͜Β %FFQ͔ͩΒਂւڕ

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1ZUIPOͰֶͿԻܥʮछͷਆثʯ

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ϚΠΫϩϗϯΞϨΠ৴߸ॲཧ

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ࠓ঺հͨ͠ຊͷதͰҰ൪ಡΜͰΈ͍ͨ΋ͷɼ·ͨ͸طʹಡΜͩ͜ͱ͕͋Δ ΋ͷ͸ͲΕͰ͔͢ 5FBNTͷνϟοτͰճ౴͍ͯͩ͘͠͞෼Ҏ಺ ࣭໰

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໨త ຊߨٛͰ఻͍͑ͨ͜ͱ Ի͸෺ཧݱ৅๏ଇ͕͋Δ Ի͸ద੾ͳ਺ֶɾ෺ཧԋࢉʹΑͬͯมܗɾՃ޻͢Δ͜ͱ͕Ͱ͖Δ ద੾ͳԻڹɾԻ੠৘ใॲཧʹΑͬͯਓʑͷੜ׆Λ๛͔ʹͰ͖Δ ݱ࣮ੈքʹ͸ͳ͍Ի੠ɾԻۭؒΛԻڹɾԻ੠৘ใॲཧʹΑͬͯ૑ग़Մೳ ࣮૷JTBMMXFOFFE ՝୊ ຊߨٛͰ঺հٕͨ͠ज़ͷ͏ͪɼ࠷΋ڵຯਂ͍΋ͷʹ͍ͭͯͦͷཧ༝Λड़΂Α ·ͨɼԻڹɾԻ੠৘ใॲཧٕज़Λ༻͍ͯࠓޙ࣮ݱ͍ͨ͠ɼͯ͠ཉ͍ٕ͠ज़ʹ͍ͭͯ΋ड़΂Α Ϛϧνεϙοτ࠶ੜٕज़ʹ͍ͭͯɼ͜ͷΑ͏ͳ৔໘Ͱ࢖ͬͯཉ͍͠ɼ࢖͏΂͖ͱ͍ͬͨ࢖༻༻్ͱཧ༝Λड़΂Α ্ه఺ʹ͍ͭͯจࣈఔ౓ͷจষʹ·ͱΊΑ ·ͱΊɿຊߨٛͷ໨తɾ՝୊ ࠶ܝ

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֎෦ࢿۚ ຊݚڀͷҰ෦͸+414Պݚඅ+1,ɼ+45 プ ϩ グ ϥϜϚωʔ ジ ϟʔ 1. ͷҭ੒ɾ׆༂ਪਐ プ ϩ グ ϥϜ ࣮ࢪ୅ දऀɿ඗ాܒଠ ͓Αͼ+45"45&1τϥΠΞ΢τ+1.+5.%ͷॿ੒Λड͚ͨ΋ͷ で ͋Δ ֎෦࿈ܞ νϟωϧԁܗε ピ ʔΧΞϨΠ͓Αͼνϟωϧ௚ઢεϐʔΧΞϨΠվͷࢼ࡞͸๺೔ຊԻڹגࣜձࣾͱͷڞಉݚڀ ͱͯ͠ߦΘΕେࢁ৻ೋࢯɼ্໺ࠀ࢘ࢯɼԬ෦࢘ࢯɼ୩݈ଠ࿠ࢯʹײँͷҙΛද͢Δ ೔ຊՊֶະདྷؗͰͷ࣮ূ࣮ݧ͸೔ຊՊֶະདྷؗڠྗͷݩ࣮ࢪ͞Εɼ੉ޱ৻ਓࢯɼଜੴ֦อࢯɼঽְࢯɼখࢁ༟وࢯ ʹײँͷҙΛද͢Δ ಺෦࿈ܞ Ի੠Ϛϧνεϙοτ࠶ੜٕज़ͷࣾձల։͸/*$5Πϊ ベ ʔγϣϯ デザ ΠϯΠχγΞςΟ ブ ڞ૑ デザ Πϯ プ ϩ ジ ΣΫτ ͱͯ͠ߦΘΕɼ プ ϩ ジ ΣΫτϝϯ バ ʔ で ͋Δ඗ాܒଠࢯɼਢ౻ඒ༏رࢯɼ܂ݪສබࢯʹײँͷҙΛද͢Δ ँࣙ

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Ԭຊ ୓ຏ (Takuma OKAMOTO)ˏNICT e-mail: HP: https://www.okamotocamera.com Twitter: @okamotocamerea Thank you for your !!