音声認識の基礎
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- えりか まきい
- 5 years ago
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2 / / / Key word (word spottig), / /
3 ( )
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7 00% DARPA2 0% k 20k 5k %
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11 Age , , , 000 Hours Estimated amout of speech a huma beig hears as a fuctio of age (R.Moore, EuroSpeech, 2003) Word Error Rate(%) , 000 0, , 000 Hours Supervised, Usupervised Usupervised (reduced LM traiig) Extrapolated word error rates for icreasig quatities of traiig data(r.moore, EuroSpeech, 2003),000,000
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13 word jucture rule bottom up top dow
14 X K L X N, L, X L X K N {} {} S (t) S' ( t) r ( t) M rm ( t) X M X N d M d K Ci S(t) :, S (t) : r(t) : M X : N di : Ci
15 PARCOR FFT FFT 8 4 MFCC 8 2 LPC
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17 LBG = = = = = = (0) (0) 0 ) ( 0,, 0, },, {, }, 0, ; { ) ( D m y y A N j x N j ε L L ( ) { } = = = < = 0 0 ) ( ) ( ) ( ) (,. ), ( ), (, }, 0, ; { } { (2) N i j i j m i j m i j m t j m i j i N m j S x y x d D S x y x d y x d t N i S N A x L ( ). 4., /, (3) ) ( N m m m m A D D D ε < { } { } ( ). 2,,.,, (4) ) ( ) ( ) ( 0 ) ( + = = = m m S C y y y A i m i m N m N m L ( ) ( ) = = = 0 0, arg mi,,, ˆ i x i x d x x x C x L
18 2 ( ) = M = A (2) A y i (3) A A ( x, x, L ) 0, = C 0, 0, M x { y, y, L, y }., { y0, y0 +, y, y +, L, ym, ym + } A = { y, y, L, y }. 0,2M = 0 + y 0,2M 0,2M i 0 M 2M { y ; i = 0,,, 2M } y i,. M, LPG = L i M = 2M 2. = N.
19 (a) (b) VCV SPLIT (c) ( )
20 / / ) ( )
21 {} {} jucture rule {} {} {} bottom up
22 DP
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24 3
25 The little boy ra quickly The little boy ra quickly the 8 a 9 little 0 big boy 2 girl 3 ra 4 walked 5 quickly 6 slowly the a little big boy girl ra walked quickly slowly
26 JUMP
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30 (a) (b) (DP) (c) (d)
31 I+JCI I+JC(I-) k I J-k)!/I-k)!(J-k)!k!
32 D( A, B) = mi F w( k) d ( i( k), w( k) j( k)) b J C x = ( I, J ) w( k) = i( k) i( k ) + j( k) j( k ) j = i + r warpig fuctio b j C = ( i, j) w ( k ) = i ( k ) i ( k ) C 4 C 2 j = i r C b 5 2 C 3 C D( i, j) b = (,) D ( i, j) = mi D( i, j ) + d( i, j) a a 2 a i ai D( i, j 2)
33 DPDTW) g( i-2, j-) + 2 d(i-, j) + d(i, j) g(i, j) = mi g( i-, j-) + 2 d(i, j) g( i-, j-2) + 2 d(i, j-) + d(i, j) j i (i,j) g( i-2, j-) + d(i-, j) + d(i, j) g(i, j) = mi g( i-, j-) + d(i, j) g( i-, j-2) + d(i, j) g( i-2, j-) + d(i, j) g(i, j) = mi g( i-, j-) + d(i, j) g( i-, j-2) + d(i, j-) + d(i, j)
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36 b J D ( i, J ) R b 2 b a 2 a i ai B ( i, J ) i = u( j) test patter (a) (b) (c) (d) (e) test patter Asymmetric DP path ad weight for word spottig (base axis : referece patter)
37 D (, i) = D (0, j) = ; execute for = execute 4.5. for = D ( i,) = D ( i,) B ( i,) = i for =,2, L N j =,2, L J j = 2,3, L J ˆ i = arg mi D ( i', j ) i 2 i' i D ( i, j ) = D ( iˆ, j ) + d ( i, j ) B i,2, L I,2, L N ( i, j ) = B ( iˆ, j ) Iitializatio Iitializatio for word boudary
38 Example d : I N J D : I N J cumulative distace local distace test patter
39 A = a a2 a I L B = b b 2 LbJ pa qa r A s A A B
40 2A=abcdef B=bdcgfh p=q=r=s= A = a, a2 L ai, B = b, b2 Lb J DPDPDP DP /3 3 A B
41 DP )
42
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2 DI 28 7 1 37 28 4 18 27 11 21 5 2 26 4 5 1 15 2 25 3 35 4 17 7 5 48 76 31 47 17 2 92 12 2 2 4 6 8 1 12 1 2 4 1 12 13 18 19 3 42 57 57 1 2 3 4 5 6 1 1 1 3 4 4 5 5 5.5 1 1.5 2 2.5 3 3.5 4 4.5 5
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WINETCONTENTS 1 2 3 Q&A Q A 4 Q A 5 Q A 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 No. 10. 1. 11. 2. 12. 3. 4. 13. 5. 14. 6. 7. 15. 8. 9. 16. 33 17. 33. 34. 35. 18. 19. 36.
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