| 1 | # -*- coding: utf-8 -*- # |
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| 2 | |
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| 3 | import pywt as O, pylab as P, numpy as N, time as T, scikits.audiolab as A |
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| 4 | |
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| 5 | def norm(sig): |
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| 6 | factor = N.amax(N.abs(sig)) |
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| 7 | return sig/factor |
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| 8 | |
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| 9 | ctime = T.time() |
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| 10 | noise = s1 = N.random.uniform(-1,1,10*44100) |
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| 11 | sinusoid = s2 = N.cos(N.linspace(0,10*700*2*N.pi,10*44100)) |
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| 12 | |
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| 13 | wp1 = O.WaveletPacket(s1, 'db5', 'sym',5) |
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| 14 | wp2 = O.WaveletPacket(s2, 'db5', 'sym',5) |
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| 15 | |
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| 16 | # endereco da folha (path) e o vetor de coeficientes (data) |
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| 17 | coeffs1 = [(node.path, node.data) for node in wp1.get_leaf_nodes(decompose=True)] |
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| 18 | coeffs2 = [(node.path, node.data) for node in wp2.get_leaf_nodes(decompose=True)] |
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| 19 | |
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| 20 | wpr = O.WaveletPacket(None, 'db5', 'sym', 5) |
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| 21 | |
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| 22 | choice = 0 # leaf wavlets alternation |
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| 23 | if choice == 0: |
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| 24 | for i in xrange( len(coeffs1) ): |
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| 25 | if i%2==0: |
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| 26 | wpr[ coeffs1[i][0] ] = coeffs1[i][1] |
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| 27 | else: |
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| 28 | wpr[ coeffs1[i][0] ] = coeffs2[i][1] |
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| 29 | morphed = wpr.reconstruct() |
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| 30 | morphed = norm( morphed ) |
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| 31 | name = "0morphed_LeafSound.wav" |
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| 32 | A.wavwrite(morphed, name ,44100) |
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| 33 | print "Leaf Alternation in file: ", name |
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| 34 | |
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| 35 | choice = 1 |
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| 36 | if choice == 1: |
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| 37 | for i in xrange( len(coeffs1)): |
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| 38 | if i%2==0: |
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| 39 | cr=N.copy( coeffs1[i][1] ) |
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| 40 | cr[::2]=coeffs2[i][1][::2] |
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| 41 | wpr[ coeffs1[i][0] ] = cr |
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| 42 | else: |
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| 43 | cr = N.copy( coeffs2[i][1] ) |
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| 44 | cr[::2] = coeffs1[i][1][::2] |
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| 45 | wpr[ coeffs1[i][0] ] = cr |
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| 46 | |
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| 47 | morphed = wpr.reconstruct() |
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| 48 | morphed = norm(morphed) |
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| 49 | name="1morphed_LeafCoeffSound.wav" |
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| 50 | A.wavwrite(morphed, name, 44100) |
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| 51 | print "Leaf and Coeff Alternation in file: ", name |
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| 52 | |
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| 53 | choice = 2 |
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| 54 | if choice == 2: |
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| 55 | for i in xrange( len(coeffs1) ): |
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| 56 | cr = N.copy(coeffs1[i][1]) |
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| 57 | cr[::2] = coeffs2[i][1][::2] |
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| 58 | wpr[ coeffs1[i][0] ] = cr |
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| 59 | |
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| 60 | morphed = wpr.reconstruct() |
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| 61 | morphed = norm( morphed ) |
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| 62 | name = "2morphed_CoeffSound.wav" |
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| 63 | A.wavwrite(morphed, name ,44100) |
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| 64 | print "Coeff Alternation in file: ", name |
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| 65 | |
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| 66 | choice = 3 |
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| 67 | if choice == 3: |
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| 68 | for i in xrange( len(coeffs1) ): |
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| 69 | cr = N.copy(coeffs1[i][1]) |
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| 70 | inds = N.arange(len(cr)) |
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| 71 | N.random.shuffle(inds) |
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| 72 | inds = inds[::2] |
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| 73 | print "indexes used for second sound ", inds |
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| 74 | cr[inds] = coeffs2[i][1][inds] |
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| 75 | wpr[ coeffs1[i][0] ] = cr |
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| 76 | |
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| 77 | morphed = wpr.reconstruct() |
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| 78 | morphed = norm( morphed ) |
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| 79 | name = "3morphed_HalfShuffCoeffSound.wav" |
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| 80 | A.wavwrite(morphed, name ,44100) |
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| 81 | print "Half shuff Coeff in file: ", name |
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| 82 | |
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| 83 | choice = 4 |
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| 84 | if choice == 4: |
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| 85 | for i in xrange( len(coeffs1) ): |
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| 86 | cr = N.copy(coeffs1[i][1]) |
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| 87 | inds = N.arange( N.random.randint(len(cr)) ) |
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| 88 | N.random.shuffle(inds) |
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| 89 | print "indexes used for second sound ", inds |
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| 90 | cr[inds] = coeffs2[i][1][inds] |
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| 91 | wpr[ coeffs1[i][0] ] = cr |
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| 92 | |
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| 93 | morphed = wpr.reconstruct() |
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| 94 | morphed = norm( morphed ) |
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| 95 | name = "4morphed_RandCoeffSound.wav" |
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| 96 | A.wavwrite(morphed, name ,44100) |
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| 97 | print "Random Coeff in file: ", name |
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| 98 | |
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| 99 | choice = 5 |
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| 100 | if choice == 5: |
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| 101 | for i in xrange( len(coeffs1) ): |
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| 102 | pesos=N.random.uniform(0,1,len(coeffs1[i][1])) |
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| 103 | cr = pesos*coeffs1[i][1]+(1-pesos)*coeffs2[i][1] |
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| 104 | wpr[ coeffs1[i][0] ] = cr |
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| 105 | |
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| 106 | morphed = wpr.reconstruct() |
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| 107 | morphed = norm( morphed ) |
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| 108 | name = "5morphed_UniRandWeightCoeffSound.wav" |
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| 109 | A.wavwrite(morphed, name ,44100) |
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| 110 | print "Random Coeff in file: ", name |
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| 111 | |
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| 112 | choice = 6 |
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| 113 | if choice == 6: |
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| 114 | for i in xrange( len(coeffs1) ): |
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| 115 | pesos=N.random.uniform(0.5,0.1,len(coeffs1[i][1])) |
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| 116 | cr = pesos*coeffs1[i][1]+(1-pesos)*coeffs2[i][1] |
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| 117 | wpr[ coeffs1[i][0] ] = cr |
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| 118 | |
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| 119 | morphed = wpr.reconstruct() |
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| 120 | morphed = norm( morphed ) |
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| 121 | name = "5morphed_NormRandWeightCoeffSound.wav" |
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| 122 | A.wavwrite(morphed, name ,44100) |
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| 123 | print "Random Coeff in file: ", name |
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| 124 | |
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| 125 | print ¨time ellapsed: ¨, ctime = T.time() |
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