[SPEASIP 2023招待講演] マルチスポット再生 meets 多言語ニューラル音声合成 ~実装 is ホンマに all we need~

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z = 0 [m]
[dB]
1.5 2 2.5
y [m]
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
x [m]
-30
-25
-20
-15
-10
-5
0
[dB]
z = 0 [m]
X axis [m]
-1 0 1
Y axis [m]
-1.5
-1
-0.5
0
0.5
1
1.5
-40
-30
-20
-10
0
Y axis [m]
X axis [m]
z = 0 [m]
[dB]
−2 −1 0 1 2
−2
−1.5
−1
−0.5
0
0.5
1
1.5
2
−40
−35
−30
−25
−20
−15
−10
−5
0
z = 0 [m]
[dB]
-1 0 1 2 3 4
y [m]
-2
-1
0
1
2
x [m]
-40
-35
-30
-25
-20
-15
-10
-5
0
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8"41"" +*).41 *8"&/$ 8"41""
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Quiet zone
Listening
zone
rq
rq
rb
r1
r2
ro
ri
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Reproduced sound field and reproduction error
Sound field represented by angular spectrum coefficients
Sound field recorded by linear receiver (Spatial Fourier transform)
2.5D HOA for circular secondary sources (J. Ahrens et al. 2008.)

Analytical driving function of 2.5D synthesis
Analytical approaches to sound field recording and reproduction
Analytical conversion of sound field representation
Analytical driving function of 2.5D synthesis for circular secondary sources

Sound field recorded by linear microphone arrays can be reproduced by
circular loudspeaker arrays
2.5D higher-order Ambisonics
for a sound field described by angular spectrum coefficients
Takuma OKAMOTO, National Institute of Information and Communication Technology, Japan
1. Introduction
2. Analytical conversion of sound field representation
3. Proposed formulation
4. Computer simulations
Reproduction error
Sound field
Lmic = Lsp = 64 ch, x = 0.05 m, r0 = 2.0 m, xs = [1, 5, 0]T
˜
P( k, !) = ˜
P(kx, !) =
Z 1
1
P(x, 0, !)ejkxxdx =
Z 1
1
P(x, 0, !)ejk cos( k)xdx
˚
D2.5D,m(r0, !) =
( j)|m| 1
⇡r0h(2)
|m|
(kr0)
Z ⇡
0
˜
P( k, !) sin( k)e jm k d k
˚
D2.5D,m(r = 0, r0, !) =
1
2⇡r0
·
ˇ
Pm
|m|
(!)
jkh(2)
|m|
(kr0)Y m
|m|
(⇡/2, 0)⇤
ˇ
Pm
|m|
(rs, !) = jkh(2)
|m|
(krs)Y m
|m|
(✓s, s)⇤
ˇ
Pm
|m|
( k, !) = 4⇡( j)|m|Y m
|m|
(⇡/2, k)⇤
Plane wave :
Point source :
Z k p
Higher order Ambisonics (HOA)
Recording stage Reproduction stage
Spectrum division method (SDM)
Angular spectrum
Spherical harmonics expansion
Flexible sound field recording and reproduction
J. Ahrens et al. 2012.
WFS for SHE
Proposed approach
Integrated with
from to
k = 0 ⇡
(k/2⇡) ˜
P( k, !) sin( k)
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(a) (c) (d)
(b)
ˇ
Sm
n
Data-based synthesis
Model-based synthesis
˜
Sm(kx) ˜
S(R, , kx)
D(x0)
R
y0
x x x
y y y
z z z
Appropriate rotation
˜
S(ysyn, 0, kx)
ysyn
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A0
0
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A 1
1
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A1
1
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A 2
2
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A0
2
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A2
2
AAACbHichVHLSgMxFD0d3/VVHwuhCGJpcSWpCBZXihuX1dqq1FpmxlSD82ImLdTSH3DrwoW6UBARP8ONP+DCTxDBTQU3LrydDogW9YYkJyf33JwkmmMITzL2FFI6Oru6e3r7wv0Dg0PDkZHRnGeXXZ1ndduw3S1N9bghLJ6VQhp8y3G5amoG39QOV5r7mxXuesK2NmTV4QVT3bdESeiqJGp7uVibq+9SL0ZibJb5MdUOkgGIIYi0HbnBDvZgQ0cZJjgsSMIGVHjU8kiCwSGugBpxLiHh73PUESZtmbI4ZajEHtK4T6t8wFq0btb0fLVOpxjUXVJOIc4e2S1rsAd2x57Zx6+1an6NppcqzVpLy53i8PFE5v1flUmzxMGX6k/PEiWkfK+CvDs+07yF3tJXjk4bmcX1eC3BrtgL+b9kT+yebmBV3vTrNb5+hjB9QPLnc7eD3NxskvDafGwpFXxFL6KYxgy99wKWsIo0snSuiROc4yL0qowrUWWylaqEAs0YvoWS+ATfoI0Y
A 3
3
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A 1
3
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A1
3
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A3
3
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
···
sha1_base64="LkI1ID8vpBUegAiZ3D3P4NOAYks=">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
···
· · ·
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
· · ·
· · ·
(a) recording S(r, /2, )
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
(c) 2.5D synthesis with D(r0)
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
Estimation
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
Conversion
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
(b) Am
n
for n + |m| even
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
···
···
· · ·
· · ·
· · ·
ˇ
A0
0
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
ˇ
A 1
1
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
ˇ
A1
1
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
ˇ
A0
2
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
ˇ
A 2
2
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
ˇ
A2
2
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
ˇ
A 3
3
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
ˇ
A 1
3
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
ˇ
A1
3
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
ˇ
A3
3
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
*$"441
8"41""
AAACcHichVHLTsJAFD3UF+ILdUPiQpRojAsyJUaNKxI3LgFFiEBMW0dsLG1tByISfsAfYOFGTIwxfoYbf8CFn2DcqYkbF15KE6NGvZOZOXPmnjtnZlTb0F3B2ENA6unt6x8IDoaGhkdGx8LjE9uuVXU0ntUsw3LyquJyQzd5VujC4Hnb4UpFNXhOPVzv7Odq3HF1y9wSdZuXKkrZ1Pd1TRFElYqCH4vGjmXyaFPeDcdYnHkR/QlkH8TgR8oKX6GIPVjQUEUFHCYEYQMKXGoFyGCwiSuhQZxDSPf2OZoIkbZKWZwyFGIPaSzTquCzJq07NV1PrdEpBnWHlFHMsXt2zV7YHbthj+z911oNr0bHS51mtavl9u7YaWTz7V9VhWaBg0/Vn54F9rHqedXJu+0xnVtoXX3tpPWyuZaZa8yzC/ZE/tvsgd3SDczaq3aZ5pkzhOgD5O/P/RNsJ+LycjyRXoolE/5XBDGFWSzQe68giQ2kkKVzj9DCOdqBZykiTUsz3VQp4Gsm8SWkxQ/xzY71
Zone 1
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
Zone Q
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
Zone q
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
R
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
ri
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
re
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
Cylindrical
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
ba✏e
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
Global
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
region of interest
AAACcXichVHLSgMxFD0dX7U+WnWjuCktiiCUtIiKq4Ibl9raB7RaZsZoh86LmbRQh/6AP6DgSkFE/Aw3/oCLfoK4rODGhbfTAVFRb0hycnLPzUmi2LrmCsa6IWloeGR0LDwemZicmo7GZmaLrtV0VF5QLd1yyorscl0zeUFoQudl2+Gyoei8pDS2+/ulFndczTL3RdvmB4Z8YmrHmioLog5zNa9qyKLuGJ7e6dRiSZZifsR/gnQAkghi14rdooojWFDRhAEOE4KwDhkutQrSYLCJO4BHnENI8/c5OoiQtklZnDJkYhs0ntCqErAmrfs1XV+t0ik6dYeUcSyxJ3bHeuyR3bNn9v5rLc+v0ffSplkZaLldi57N59/+VRk0C9Q/VX96FjjGpu9VI++2z/RvoQ70rdPzXn4rt+Qts2v2Qv6vWJc90A3M1qt6s8dzl4jQB6S/P/dPUMyk0uupzN5aMpsJviKMRSSwQu+9gSx2sIsCnevgAle4DvWkBSkuJQapUijQzOFLSKsf87GP6w==
Rl
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
Rq
Rl
Rl
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
Interior Ambisonics 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
Exterior Ambisonics

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౸དྷԻ৔ܕΞϯϏιχΫε
೾໘߹੒๏ɼεϖΫτϧআࢉ๏
DIٿܗϚΠΫϩϗϯΞϨΠˏ౦๺େ DIแғܕεϐʔΧΞϨΠˏ౦๺େ
DIแғܕϚΠΫϩϗϯΞϨΠˏ౦๺େ DIٿܗεϐʔΧΞϨΠˏ/*$5
DIೋ௚ઢϚΠΫϩϗϯΞϨΠˏ/*$5 DIೋ௚ઢεϐʔΧΞϨΠˏ/*$5
ҰਓͰͷ࣋ͪӡͼ͸೉͍͠
์ࣹԻ৔ܕΞϯϏιχΫε
1SFWJPVTMZJNQMFNFOUFETZTUFNT

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εϐʔΧΞϨΠΛ༻͍ͨہॴ࠶ੜɾϚϧνεϙοτ࠶ੜɾϚϧνԻ৔੍ޚ

ہॴ࠶ੜɿԻѹͷΈΛ੍ޚ
͋ΔྖҬʹͷΈ͋ΔಛఆͷԻ͕ฉ͑͜
 
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Ϛϧνεϙοτ࠶ੜɿԻѹͷΈΛ੍ޚɼ B
ͷॏͶ߹Θͤ
ͦΕͧΕͷྖҬʹͦΕͧΕผͷԻ͕ฉ͑͜Δ

ϚϧνԻ৔੍ޚɿԻѹ͚ͩͰͳ͘೾໘ͦͷ΋ͷΛ੍ޚ
ͦΕͧΕͷྖҬͰผʑͷԻ৔Λಉ࣌ʹ࠶ݱ

.VMUJQMFTPVOETQPUTZOUIFTJTUFDIOPMPHZ
Bright zone
(Listening area)
(null)
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(null)
Dark zone
(Quiet area)
(null)
(null)
(null)
(null)
B
ہॴ࠶ੜ
͜Μʹͪ͸
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㟬޷
Japanese
area
(null)
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English
area
(null)
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(null)
Chinese
area
(null)
(null)
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(null)
C
Ϛϧνεϙοτ࠶ੜ
D
ϚϧνԻ৔੍ޚ
ແԻ
ಧ͚͍ͨਓ͚ͩʹඞཁͳԻΛಧ͚Δٕज़
೗ԿʹʮԻ͕ฉ͑͜ͳ͍ྖҬʯΛܗ੒͢Δ͔

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ϔουηοτ
ϝϦοτɿଞ΁ͷԻ࿙Ε͕ͳ͍ɼԻ࣭͕Α͍
σϝϦοτɿਓ਺෼Λ༻ҙ͢Δඞཁ͕͋Δɼ઀৮ܕͰ͋ΔͨΊײછରࡦతʹݒ೦͋Γ
௒Ի೾εϐʔΧ
ϝϦοτɿݸਓ͝ͱͷσόΠεෆཁɼӶ͍ࢦ޲ੑɼඇ઀৮
σϝϦοτɿԻ࣭͕՝୊ɼ௒Ի೾ྖҬͰ͸E#Ҏ্ͷԻѹϨϕϧ ݈߁ඃ֐΁ͷݒ೦

εϐʔΧΞϨΠΛ༻͍ͨہॴ࠶ੜɾϚϧνεϙοτ࠶ੜ
ϝϦοτɿݸਓ͝ͱͷσόΠεෆཁɼӶ͍ࢦ޲ੑɼඇ઀৮ɼ݈߁ඃ֐ͳ͠ɼԻ࣭͕Α͍
ݚڀ՝୊ɿ੍ޚਫ਼౓޲্ɼখܕԽɼ࣮༻Խ

$PNQBSJTPOXJUIPUIFSNFUIPET
ϔουηοτ΍௒Ի೾εϐʔΧʹมΘΔ
৽ͨͳԻ੠ఏٕࣔज़

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ैདྷٕज़ FH+$IPJFUBM +"DPVTU4PD"N

ଟ఺੍ޚʹجͮ͘ํࣜɿ֤εϐʔΧͱ੍ޚ఺ؒͷ఻ୡؔ਺ͷٯߦྻԋࢉʹجͮ͘
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ٯߦྻԋࢉ͸ඇৗʹෆ҆఺ˠਖ਼ଇԽ͕ඞཁ

-PDBMJ[FETPVOE[POFNFUIPET
Bright zone
(Listening area)
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Dark zone
(Quiet area)
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G(!)
P (!)
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
D(!)
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
Loudspeaker array
(null)
(null)
(null)
(null)
Control points
(null)
(null)
(null)
(null)
Driving
function
(null)
(null)
(null)
(null)
Transfer
function
(null)
(null)
(null)
(null)
Sound
pressures
(null)
(null)
(null)
(null)

View Slide

ݪཧ
Իͷฉ͑͜ΔྖҬͷԻѹΛɼฉ͑͜ͳ͍ྖҬͷԻѹΛˠۣܗ૭ͱͯ͠࿈ଓతʹϞσϧԽ
ۣܗ૭ͷۭؒϑʔϦΤม׵4JODؔ਺ͱͯ͠ղੳతʹಋग़Մೳ
௚ઢ΍ԁܗͷεϐʔΧΞϨΠ৔߹͸఻ୡಛੑͷۭؒϑʔϦΤม׵΋ղੳతʹಋग़Մೳ
ಛੑ
೾ಈํఔ͔ࣜΒಋग़͞ΕΔۭؒϑʔϦΤม׵ʹΑΓ෺ཧతͳҐஔؔ܎Λߟྀ
҆ఆͳΤόωοηϯτ੒෼Λআڈͨ͠ۦಈ৴߸҆ఆͨ͠ۦಈ৴߸

4QBUJBM'PVSJFSUSBOTGPSNCBTFENFUIPET
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
50LBNPUPFUBM+"DDPTU4PD"N
50LBNPUP8"41""

View Slide

࣮૷ͨ͠νϟωϧ௚ઢΞϨΠΛ༻͍ͨํࣜ
ैདྷٕज़Λ্ճΔ੍ޚੑೳΛ࣮ݱ

&YQFSJNFOUBMSFTVMUTPGMJOFBSBSSBZ
DS CM LS SFT (rect.) SFT (Hann)
z = 0 [m]
[dB]
1.5 2 2.5
y [m]
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
x [m]
-30
-25
-20
-15
-10
-5
0
z = 0 [m]
[dB]
1.5 2 2.5
y [m]
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
x [m]
-30
-25
-20
-15
-10
-5
0
z = 0 [m]
[dB]
1.5 2 2.5
y [m]
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
x [m]
-30
-25
-20
-15
-10
-5
0
z = 0 [m]
[dB]
1.5 2 2.5
y [m]
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
x [m]
-30
-25
-20
-15
-10
-5
0
z = 0 [m]
[dB]
1.5 2 2.5
y [m]
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
x [m]
-30
-25
-20
-15
-10
-5
0
0 1 2 3 4 5
Temporal frequency [kHz]
0
5
10
15
20
25
30
35
40
Bright to dark ratio [dB]
DS CM LS SFT (rect.) SFT (Hann)
50LBNPUPFUBM+"DDPTU4PD"N

View Slide

νϟωϧԁܗΞϨΠΛ༻͍ͨํࣜ
ैདྷٕज़Λ্ճΔ੍ޚੑೳΛ࣮ݱ

0 1 2 3 4 5
Temporal Frequency [kHz]
0
5
10
15
20
25
BDR [dB]
Spatial Nyquist Frequency
LS method (open)
LS method (baffled)
Beamforming (open)
Beamforming (baffled)
Proposed (open)
Proposed (baffled)
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
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
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
ଟ఺੍ޚ -4
ϏʔϜϑΥʔϛϯά ఏҊ๏
)[ͷ݁Ռ
4JNVMBUJPOSFTVMUTPGDJSDVMBSBSSBZ
50LBNPUP8"41""

View Slide

νϟωϧ௚ઢεϐʔΧΞϨΠΛ༻͍ͨϚϧνεϙοτ࠶ੜ
1SFWJPVTJNQMFNFOUFETZTUFN

͜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
N
࣮༻ԽͷͨΊʹ͸খܕԽ͕ඞਢ
ֶձձ৔ͰεϐʔΧΞϨΠͷσϞ͕͍ͨ͠Ի৔੍ޚΛීٴ͍ͨ͠
50LBNPUP*$"441

View Slide

Ԭຊ୓ຏ

 

 
 
!/*$5
Ի੠ॲཧ
 
 

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View Slide

/*$5͕ఏڙ͢ΔԻ੠຋༁ΞϓϦ7PJDF5SBΛྫʹ
ࣗಈԻ੠ೝࣝ
ສਓͷԻ੠ΛςΩετ΁ม׵
ػց຋༁
ೖྗ͞ΕͨςΩετΛผͷݴޠ΁ม׵
ςΩετԻ੠߹੒
ೖྗ͞ΕͨςΩετΛԻ੠৴߸΁ม׵
4QFFDIUSBOTMBUJPOUFDIOPMPHZ

˞ίϯχϟΫҎ֎͸
ɹࣗ෼Ͱඳ͖·ͨ͠
/*$5Ͱͷ
ࢲͷຊ຿

View Slide

/FVSBMTQFFDIXBWFGPSNTZOUIFTJTNPEFMT
χϡʔϥϧ೾ܗੜ੒Ϟσϧʹؔ͢ΔऔΓ૊Έ ԬຊɼԻڹࢽ

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
Acoustic features h
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
or
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
RNN layers
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
Sampling
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
Dilated CNN layers
AAACa3ichVG7SgNBFD1ZXzG+ojaiFsEQiU2YDUHFSrCx9JUHRAm766iDsw/2EYjBH7C0sdBGQUT8DBt/wMJPELFSsLHwZrMgKupdZufMmXvunLmjO1J4PmMPMaWjs6u7J96b6OsfGBxKDo+UPDtwDV40bGm7FV3zuBQWL/rCl7ziuFwzdcnL+v5Sa79c564nbGvDbzh8y9R2LbEjDM0nqpJd0gJPkzO1ZJrlWBipn0CNQBpRrNjJK2xiGzYMBDDBYcEnLKHBo68KFQwOcVtoEucSEuE+xyESpA0oi1OGRuw+/XdpVY1Yi9atml6oNugUScMlZQoZds+u2Qu7Yzfskb3/WqsZ1mh5adCst7XcqQ0dja2//asyafax96n607OPHcyHXgV5d0KmdQujra8fnLysL6xlmtPsgj2R/3P2wG7pBlb91bhc5WunSNADqN/b/ROU8jl1NldYzacXC9FTxDGBKWSp33NYxDJWUAz7fIxTnMWelVFlXJlspyqxSDOKL6FkPgBncoxp
(Causal)
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
Previous samples
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
Upsampling
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
Conditioning
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
.
.
.
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
In inferece
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e.g. WaveNet, WaveRNN, LPCNet
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Probability p(xt
|x0, · · · , xt 1, h)
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Next sample xt
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(a) Auto-regressive models
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
Gaussian noise
Upsampling
Conditioning
.
.
.
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
Dilated CNN layers
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
(Non-causal)
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Gaussian noise
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
Invertible layers
Upsampling
Conditioning
.
.
.
Upsampling
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+ CNN layers
Upsampling
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
+ CNN layers
.
.
.
.
.
.
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
Di↵usion probabilistic models
Conditioning
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Original waveform x0 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
Gaussian noise ✏
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
p
¯
↵x0 +
p
1 ¯
↵✏
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
Noise level
p
¯
↵
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Gaussian noise ✏
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
In training
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
In inference
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
In training
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
e.g. ClariNet, Parallel WaveGAN 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
e.g. WaveGlow, WaveFlow 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
e.g. MelGAN, HiFi-GAN AAACgnichVHLSsNAFD3GV62vqhtBhGBRRCRMVFTEhWhBN4KvWkGlJOm0DqZJSNJCLa7c+QMuXCmIiDv9BDf+gAs/QVwquHHhTRoQFfWGzJx75p47Z2Z0xxSez9hjnVTf0NjUHGuJt7a1d3Qmuro3PbvkGjxt2Kbtbumax01h8bQvfJNvOS7XirrJM/r+QrCeKXPXE7a14VccvlvUCpbIC0Pzicom+rlSUOSMVuaLrpYblVMinw+yUXk+lVrOJpJMYWHIP4EagSSiWLETl9hBDjYMlFAEhwWfsAkNHn3bUMHgELeLKnEuIRGucxwiTtoSVXGq0Ijdp7FA2XbEWpQHPb1QbdAuJv0uKWUMsgd2xV7YPbtmT+z9117VsEfgpUKzXtNyJ9t53Lv+9q+qSLOPvU/Vn5595DEdehXk3QmZ4BRGTV8+OHlZn1kbrA6xc/ZM/s/YI7ujE1jlV+Nila+dIk4PoH6/7p9gc0xRJ5WJ1bHk3ET0FDH0YQDDdN9TmMMSVpCmfY9whRvcSg3SiKRK47VSqS7S9OBLSLMfKgCS1w==
e.g. WaveGrad, Di↵Wave, BDDM
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
(b) CNN-based models 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
(c) Flow-based models 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
(d) Upsampling-based models 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
(e) Di↵usion probabilistic models
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
Parallel waveform generative models
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
Speech waveform 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
Speech waveform
Speech waveform
"436
*$"441
4-5
4QFFDI$PNN
*$"441 "436
*$"441
*OUFSTQFFDI

View Slide

/FVSBMUFYUUPTQFFDINPEFMT
χϡʔϥϧԻ੠߹੒Ϟσϧʹؔ͢ΔऔΓ૊Έ
χϡʔϥϧ554ԻڹϞσϧ
*OUFSTQFFDI
"436
*$"441
"436
&OEUPFOE੠࣭ม׵Ϟσϧ

Իߨ࿦ य़

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
Acoustic features
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
Synthesized speech waveform
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
Charactor
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
Phoneme
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
Frame
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
Sample
AAACanichVHLSsNAFD2Nr1ofrXWjuBFrxVWZlKLiquDGpa/YQi0lidMamhdJWqjFH3DnSrArBRHxM9z4Ay78BNFdBTcuvEkDokW9w8ycOXPPnTMziq1rrsfYU0QYGBwaHomOxsbGJybjiankvms1HJVLqqVbTlGRXa5rJpc8zdN50Xa4bCg6Lyj1DX+/0OSOq1nmnteyedmQa6ZW1VTZI6ogEbYco5JIsQwLYr4fiCFIIYwtK3GDAxzCgooGDHCY8AjrkOFSK0EEg01cGW3iHEJasM9xghhpG5TFKUMmtk5jjValkDVp7dd0A7VKp+jUHVLOI80e2S3rsgd2x57Zx6+12kEN30uLZqWn5XYlfjqz+/6vyqDZw9GX6k/PHqpYC7xq5N0OGP8Wak/fPD7v7q7vpNtL7Iq9kP9L9sTu6QZm80293uY7HcToA8Sfz90P9rMZcSWT286m8rnwK6KYwwKW6b1XkccmtiAF7s5wgU7kVUgKs8JcL1WIhJppfAth8ROtZoyV
Uniform
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
upsampling
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
Input text
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
Phoneme sequence
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
Synthesized speech waveform
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
Intermediate features
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
Encoder
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
Decoder
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
Text-analyzer (G2P)
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
(a) Pipeline TTS models 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
(b) Entire end-to-end TTS models
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
Acoustic models
AAACgHichVG7SgNBFD2urxhfURvBJhiU2MRZEZVUARvL+EgiqITdzSQOmX2wj4AGC1t/wMJKQURs9Bts/AELP0EsFWwsvNksiAb1DjNz5sw9d87M6I4Uns/YU5fS3dPb1x8biA8ODY+MJsbGi54duAYvGLa03W1d87gUFi/4wpd823G5ZuqSl/T6amu/1OCuJ2xryz9w+J6p1SxRFYbmE1VOTKWFZcigIqxashK4IZs07QqX3lw5kWIZFkayE6gRSCGKvJ24wi4qsGEggAkOCz5hCQ0etR2oYHCI20OTOJeQCPc5jhAnbUBZnDI0Yus01mi1E7EWrVs1vVBt0CmSukvKJGbYI7tmr+yB3bBn9vFrrWZYo+XlgGa9reVOefRkcvP9X5VJs4/9L9Wfnn1UsRJ6FeTdCZnWLYy2vnF4+rqZ3ZhpzrIL9kL+z9kTu6cbWI0343Kdb5whTh+g/nzuTlBcyKhLmcX1hVRuMfqKGKYwjTS99zJyWEMeBTr3GFe4xZ2iKGllXlHbqUpXpJnAt1Cynyq3k+c=
(including duration models)
Speech waveform
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
(=Neural vocoders)
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
generative models
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
Non-uniform
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
upsampling
AAACb3ichVHLSgMxFD0d3/VVdaEgSLFU2k1JRVQEoeLGZX1UhbaUmTGtwXkxkxa0+AN+gC5c+AAR8TPc+AMu/ARxJQpuXHg7HRAt6g1JTk7uuTlJNMcQnmTsMaS0tXd0dnX3hHv7+gcGI0PDm55ddXWe023Ddrc11eOGsHhOCmnwbcflqqkZfEvbW27sb9W46wnb2pD7Di+aasUSZaGrkqhCYnHJEBXL5JZMliIxlmJ+RFtBOgAxBJG1I9coYAc2dFRhgsOCJGxAhUctjzQYHOKKqBPnEhL+PschwqStUhanDJXYPRortMoHrEXrRk3PV+t0ikHdJWUUcfbAbtgru2e37Il9/Fqr7tdoeNmnWWtquVMaPBpbf/9XZdIssful+tOzRBnzvldB3h2fadxCb+prByev6wtr8foUu2TP5P+CPbI7uoFVe9OvVvnaKcL0Aemfz90KNqdT6dnUzOp0LDMTfEU3xjGJBL33HDJYQRY5OtfBMc5wHnpRRpUJJdpMVUKBZgTfQkl+Ag/tjhQ=
(=Alignment)
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Temporal resolution unit

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$16ܕߴ଎Ի੠߹੒Ϟσϧɿࡢ೥౓ݚमһਆށେদݪܓ྄͞Μ मྃ࣌ݚڀՊ௕৆ड৆

ϑϧόϯυ-1$/FUɿ*&&&"DDFTTɼ೔ຊԻڹֶձ೥ळقݚڀൃදձˏΦϯϥΠϯ ֶੜ༏लൃද৆

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ෳ਺࿩ऀԻ੠߹੒΁ͷదԠɿ೔ຊԻڹֶձ೥य़قݚڀൃදձˏΦϯϥΠϯ
3FTVMUTPGJOUFSOTUVEFOUTJO/*$5

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#BEOFXT JO"4+TVNNFSTFNJOBS

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$16ͷΈͰߴ଎ಈ࡞ՄೳͳଟݴޠχϡʔϥϧԻ੠߹੒Ϟσϧ
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/*$5ϓϩϞʔγϣϯϏσΦʮ/ͷ͍Δະདྷʯ /"্നੴ๖Ի
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ࠓத௕ظܭը ':ʙ':
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͕͍ͭʹ༥߹

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Ԭຊ୓ຏ

 

 
 
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νϟωϧখܕԁܗεϐʔΧΞϨΠͷࢼ࡞ɿԬຊΒɼԻߨ࿦ ळ

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13.44 cm
2.5 cm
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13.44 cm
DIΞϯϓ
3.&%JHJGBDF64#ಉࠝ

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DIখܕԁܗΞϨΠΛ༻͍ͨݴޠԻ੠Ϛϧνεϙοτ࠶ੜγεςϜ
຋༁͞Ε֤ͨݴޠͷԻ੠͕ͦΕͧΕҧͬͨ৔ॴͰฉ͑͜ΔԻ੠຋༁ͷ৽ͨͳ6*ͱ࣮ͯ͠૷

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ͭͷ੒Ռ͕༥߹

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Ի੠Ϛϧνεϙοτ࠶ੜٕज़঺հ)1
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1SPNPUJPOIPNFQBHF

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/*$5Ͱ։ൃதͷ࠷৽χϡʔϥϧӳޠԻ੠߹੒Λ༻͍ٕͨज़঺հϏσΦ
IUUQTZPVUVCF*O"G7DP5$

1SPNPUJPOWJEFP

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

νϟωϧ௚ઢΞϨΠվ

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݄೔ ౔
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$JSDVMBSBSSBZTZTUFN!.JSBJLBO

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-JOFBSBSSBZTZTUFN!.JSBJLBO

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έʔϒϧ͸શͯࣗ࡞
#FIJOEUIFJNQMFNFOUBUJPO
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ిंɾ৽װઢ͸N·Ͱ0,

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εʔπέʔεͭΛԭೄ΁ࣄલૹ෇
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ແࣄձ৔΁౸ண

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5PEBZ`TEFNPXJUIDJSDVMBSBOEMJOFBSBSSBZT

νϟωϧখܕԁܗεϐʔΧΞϨΠ
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χϡʔϥϧ554

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ిࢠ৘ใ௨৴ֶձશࠃେձاۀలࣔʹͯԁܗΞϨΠΛ༻͍ͨԻ੠Ϛϧνεϙοτ࠶ੜγ
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"OOPVODFNFOU%FNP!*&*$&

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೔ຊޠ
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DI
εϐʔΧ
DN

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χϡʔϥϧԻ੠߹੒
ɿˑ೔ా ࿨Վࢁେ./*$5ݚमੜ
ɼԬຊɼ੢ଜ ࿨Վࢁେ
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ɼԬຊɼߴౡ ਆށେ
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ɿˑਗ਼ਫ ਆށେ./*$5ݚमੜ
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Ի੠ݴޠ֫ಘΤʔδΣϯτ +414Պݚඅج൫$෼୲

2ɿˑখদ ౦޻େ.
ɼԬຊɼࣰ࡚ ౦޻େ
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ΤʔδΣϯτz
Ϛϧνεϙοτ࠶ੜ +414Պݚඅج൫$୅දЋ

rɿ˓Ԭຊɼz࣌มۭؒϑΟϧλϦϯάʹجͮ͘࠶ੜ৴߸దԠܕϚϧνεϙοτ࠶ੜz
 
ΦϯϥΠϯʹͯԁܗΞϨΠ͓Αͼ௚ઢΞϨΠσϞ൸࿐༧ఆ ؒʹ߹͑͹ɽɽ

"OOPVODFNFOU"4+4!0OMJOF

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࣮૷͔ͨ͠Βͦ͜ɾɾɾ
Έͳ͞·ʹฉ͍ͯ΋Β͑·ͨ͠ট଴ߨԋ΋͍͖ͨͩ·ͨ͠
࣮૷JTϗϯϚʹBMMXFOFFE
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13.44 cm
ࡢ೥౓։ൃͨ͠
ߴ଎ɾߴ඼࣭χϡʔϥϧԻ੠߹੒
7PJDF5SB౥ࡌத

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Իڹಛ௃ྔ
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Ի੠೾ܗ
ߴ඼࣭
ߴ඼
&OEU
5BLFIPNFNFTTBHF

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ٕज़ͱଟݴޠԻ੠߹੒ٕज़ͷ༥߹
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৽ܕԁܗεϐʔΧγεςϜ݄த०׬੒༧ఆ

$PODMVTJPOBOEGVUVSFXPSL

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ˠԬຊ ݚڀ୲౰
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Thank you for your !!
Ԭຊ୓ຏ (Takuma OKAMOTO)ˏNICT

e-mail:

HP: https://www.okamotocamera.com

Twitter: @okamotocamerea

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[SPEASIP 2023招待講演] マルチスポット再生 meets 多言語ニューラル音声合成 ~実装 is ホンマに all we need~

[SPEASIP 2023招待講演] マルチスポット再生 meets 多言語ニューラル音声合成 ~実装 is ホンマに all we need~

Takuma OKAMOTO

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