-
Notifications
You must be signed in to change notification settings - Fork 1
/
lunhani.py
351 lines (289 loc) · 9.82 KB
/
lunhani.py
1
2
3
4
5
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
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
#-*- coding: utf-8 -*-
import numpy as n
from scipy.io import wavfile as w
H=n.hstack
V=n.vstack
f_a = 44100. # Hz, frequência de amostragem
############## 2.2.1 Tabela de busca (LUT)
Lambda_tilde=Lt=1024.*16
# Senoide
foo=n.linspace(0,2*n.pi,Lt,endpoint=False)
S_i=n.sin(foo) # um período da senóide com T amostras
# Quadrada:
Q_i=n.hstack( ( n.ones(Lt/2)*-1 , n.ones(Lt/2) ) )
# Triangular:
foo=n.linspace(-1,1,Lt/2,endpoint=False)
Tr_i=n.hstack( ( foo , foo*-1 ) )
# Dente de Serra:
D_i=n.linspace(-1,1,Lt)
def v(f=200,d=2.,tab=S_i,fv=2.,nu=2.,tabv=S_i):
Lambda=n.floor(f_a*d)
ii=n.arange(Lambda)
Lv=float(len(tabv))
Gammav_i=n.floor(ii*fv*Lv/f_a) # índices para a LUT
Gammav_i=n.array(Gammav_i,n.int)
# padrão de variação do vibrato para cada amostra
Tv_i=tabv[Gammav_i%int(Lv)]
# frequência em Hz em cada amostra
F_i=f*( 2.**( Tv_i*nu/12. ) )
# a movimentação na tabela por amostra
D_gamma_i=F_i*(Lt/float(f_a))
Gamma_i=n.cumsum(D_gamma_i) # a movimentação na tabela total
Gamma_i=n.floor( Gamma_i) # já os índices
Gamma_i=n.array( Gamma_i, dtype=n.int) # já os índices
return tab[Gamma_i%int(Lt)] # busca dos índices na tabela
def A(fa=2.,V_dB=10.,d=2.,taba=S_i):
Lambda=n.floor(f_a*d)
ii=n.arange(Lambda)
Lt=float(len(taba))
Gammaa_i=n.floor(ii*fa*Lt/f_a) # índices para a LUT
Gammaa_i=n.array(Gammaa_i,n.int)
# variação da amplitude em cada amostra
A_i=taba[Gammaa_i%int(Lt)]
A_i=A_i*10.**(V_dB/20.)
return A_i
def adsr(som,A=10.,D=20.,S=-20.,R=100.,xi=1e-2):
a_S=10**(S/20.)
Lambda=len(som)
Lambda_A=int(A*f_a*0.001)
Lambda_D=int(D*f_a*0.001)
Lambda_R=int(R*f_a*0.001)
ii=n.arange(Lambda_A,dtype=n.float)
A=ii/(Lambda_A-1)
A_i=A
ii=n.arange(Lambda_A,Lambda_D+Lambda_A,dtype=n.float)
D=1-(1-a_S)*( ( ii-Lambda_A )/( Lambda_D-1) )
A_i=n.hstack( (A_i, D ) )
S=n.ones(Lambda-Lambda_R-(Lambda_A+Lambda_D),dtype=n.float)*a_S
A_i=n.hstack( ( A_i, S ) )
ii=n.arange(Lambda-Lambda_R,Lambda,dtype=n.float)
R=a_S-a_S*((ii-(Lambda-Lambda_R))/(Lambda_R-1))
A_i=n.hstack( (A_i,R) )
return som*A_i
triadeM=[0.,4.,7.]
def ac(f=200.,notas=[0.,4.,7.,12.],tab=Q_i):
acorde=adsr(v(tab=tab,f=f*2.**(notas[-1]/12.),nu=0))
for na in notas[:-1]:
acorde+=adsr(v(tab=tab,f=f*2**(na/12.),nu=0))
return acorde
s=ac(200.,triadeM)
s2=ac(200.,triadeM,Tr_i)
#s=n.hstack(( s,intervaloHarmonico(200,i) ))
s=H((s,s2,s,s2))
s1=ac(200.,triadeM)
s2=ac(200.,[0,5,9]) # subdominante
s3=ac(200.,[2,7,11]) # dominante
s4=ac(200.,[2,5,9]) # sub relativa
s5=ac(200.,[0,4,9]) # ton relat / sub anti
s=H((s,s1,s2,s3,s1, s1,s4,s3,s1, s1,s2,s3,s5, s5,s4,s3,s1 ))
s_=n.copy(s)
s=((s-s.min())/(s.max()-s.min()))*2.-1.
# most music players read only 16-bit wav files, so let's convert the array
s = n.int16(s * float(2**15-1))
w.write("acordeCedo.wav",f_a, s) # escrita do som
f0=100.
padrao=[0,0,-1,0]
padrao2=[10,0,-1,50]
padrao3=[10,0,-1,50]
padrao4=[10,0,-5,5]
padrao5=[11,0,-1,7]
pf=[f0*2**(pi/12.) for pi in padrao]
som1=n.hstack([adsr(v(f=ff,d=0.5,tab=Q_i)) for ff in pf])
som2=n.hstack([adsr(v(f=f0*2**(pi/12.),d=0.5,tab=Q_i)) for pi in padrao2])
som3=n.hstack([adsr(v(f=f0*2**(pi/12.),d=0.5,tab=Q_i)) for pi in padrao3])
som4=n.hstack([adsr(v(f=f0*2**(pi/12.),d=0.5,tab=Q_i)) for pi in padrao4])
som5=n.hstack([adsr(v(f=f0*2**(pi/12.),d=0.5,tab=Q_i)) for pi in padrao5])
s=n.hstack((som1,som2,som5,som1,som4,som2,som3,som1))
s__=n.copy(s)
s=((s-s.min())/(s.max()-s.min()))*2.-1.
s = n.int16(s * float(2**15-1))
w.write("linha.wav",f_a, s) # escrita do som
# para sobrepor com s_
# Intro:
padrao=[0,0,-1,0]
padrao1=[0,4,7,12]
padrao2=[0,-5,-9,-12]
padrao3=[-9,-5,-3,-1]
pp=padrao+padrao1+padrao2+padrao3
som=n.hstack([adsr(v(f=f0*2**(pi/12.),d=0.5,tab=Q_i)) for pi in pp])
#Ciclo1
padrao1=[(i,.5) for i in [0,12,24,36]]
padrao2=[(0,.25),(0,.25),(0,.5),(24+5,.5),(36+9,.5)]
padrao3=[(0,.25),(-1,.25),(-5,.5),(24+7,.5),(36+11,.5)]
padrao4_1=[(0,.25),(0,.25),(0,.5),(-24,.5),(36*2,.5)]
pp_=padrao1+padrao2+padrao3+padrao4_1
#Ciclo2
padrao1=[(i,.5) for i in [0,12,24,36]]
padrao2=[(0,.25),(2,.25),(2,.5),(24+2,.5),(36+9,.5)]
padrao3=[(0,.25),(-1,.25),(-5,.5),(24-1,.5),(36+2,.5)]
padrao4_1=[(0,.25),(-5,.25),(-9,.5),(-12,.5),(-5,.5)]
pp_+=padrao1+padrao2+padrao3+padrao4_1
#Ciclo3
padrao1=[(i,.5) for i in [0,12,24,36]]
padrao2=[(0,.25),(0,.25),(0,.5),(24+2,.5),(36+9,.25),(36+12,.25)]
padrao3=[(11,.25),(-1,.25),(7,.5),(24+7,.5),(36+2,.25),(36-1,.25)]
padrao5=[(0,.25),(-3,.25),(4,.5),(9,.5),(-5,.5)]
padrao5b=[(0,.25),(-3,.25),(4,.25),(9,.25),(-5,.25),(0,.25),(-3,.25),(4,.25)]
padrao4=[(0,.25),(2,.25),(2,.5),(24+2,.5),(36+9,.25),(-36+9,.25)]
padrao3_=[(11,.25),(-1,.25),(7,.25),(24+7,.5),(36+2,.5),(36-1,.25)]
padrao= [(i,.5) for i in [0,0,-1,0]]
padrao1_= [(i,.5) for i in [0,4,7,12]]
padrao2_= [(i,.5) for i in [0,-5,-9,-12]]
padrao3__=[(i,.5) for i in [-9,-5,-3,-1]]
#padraoF= [(i,.5) for i in [-12]]
padraoF= [(-12,.75),(-12,.25),(-12,.75),(-12-5,.25),(-12-12,2)]
pp_+=padrao1+padrao2+padrao3+padrao5+padrao5b+padrao4+padrao3_+padrao+padrao1_+padrao2_+padrao3__+padraoF
som_=n.hstack([adsr(v(f=f0*2**(pi[0]/12.),d=pi[1],tab=Q_i)) for pi in pp_])
som=n.hstack((som,som_))
# ve a diferenca enre s_ e som, adiciona zeros em s_ e soma ambos.
# coloca s__ no comeco de tudo. Grava wav
s=n.hstack((s__, n.hstack(( s_,n.zeros(len(som)-len(s_)) ))+som ))
###s= n.hstack(( s_,n.zeros(len(som)-len(s_)) ))+som
s=((s-s.min())/(s.max()-s.min()))*2.-1.
orig=n.copy(s)
s = n.int16(s * float(2**15-1))
w.write("lunhaniAlpha.wav",f_a, s) # escrita do som
import os, random
palavras=["lunhani","javascript","vivace","coffescript","cravelho","cravelhoooooo","craveeeeeeelho","craaaaaaaaavelho","craaaaaaaaavvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvkkkkkkkkkkklllllllllllllllhhhhhhhhhhhhhhtttttttttttpbsadoijasdfoijsaf iajsdfoasijdfasdiofjolvelhovelhooooooooooooooooooadsiajisdasdyyyyyyo yo yo yooooooooooooo"]
vozes="f3,f2,f1,f5,m5,m1,m3".split(",")
for palavra in palavras:
os.system("espeak -vpt-pt+%s -w%s.wav '%s'"%(random.sample(vozes,1)[0],palavra[:20],palavra))
ff=w.read("javascript.wav")[1]
ff_=n.fft.fft(ff)
s=ff2=n.fft.ifft( n.hstack((ff_,n.zeros(len(ff_)) )) ).real
js=((s-s.min())/(s.max()-s.min()))*2.-1.
ff=w.read("lunhaniFoo.wav")[1]
ff_=n.fft.fft(ff)
s=ff2=n.fft.ifft( n.hstack((ff_,n.zeros(len(ff_)) )) ).real
lh=((s-s.min())/(s.max()-s.min()))*2.-1.
ff=w.read("vivace.wav")[1]
ff_=n.fft.fft(ff)
s=ff2=n.fft.ifft( n.hstack((ff_,n.zeros(len(ff_)) )) ).real
viv=((s-s.min())/(s.max()-s.min()))*2.-1.
ff=w.read("coffeescript.wav")[1]
ff_=n.fft.fft(ff)
s=ff2=n.fft.ifft( n.hstack((ff_,n.zeros(len(ff_)) )) ).real
coff=((s-s.min())/(s.max()-s.min()))*2.-1.
ff=w.read("cravelho.wav")[1]
ff_=n.fft.fft(ff)
s=ff2=n.fft.ifft( n.hstack((ff_,n.zeros(len(ff_)) )) ).real
crav=((s-s.min())/(s.max()-s.min()))*2.-1.
ff=w.read("craaaaaaaaavvvvvvvvv.wav")[1]; ff_=n.fft.fft(ff)
s=ff2=n.fft.ifft( n.hstack((ff_,n.zeros(len(ff_)) )) ).real
crav_=((s-s.min())/(s.max()-s.min()))*2.-1.
ff=w.read("cravelhoooooo.wav")[1]; ff_=n.fft.fft(ff)
s=ff2=n.fft.ifft( n.hstack((ff_,n.zeros(len(ff_)) )) ).real
cravo=((s-s.min())/(s.max()-s.min()))*2.-1.
ff=w.read("craveeeeeeelho.wav")[1]; ff_=n.fft.fft(ff)
s=ff2=n.fft.ifft( n.hstack((ff_,n.zeros(len(ff_)) )) ).real
crave=((s-s.min())/(s.max()-s.min()))*2.-1.
ff=w.read("craaaaaaaaavvvvvvvvv.wav")[1]; ff_=n.fft.fft(ff)
s=ff2=n.fft.ifft( n.hstack((ff_,n.zeros(len(ff_)) )) ).real
crava=((s-s.min())/(s.max()-s.min()))*2.-1.
orig[10:10+len(viv)]+=viv
orig[100:100+len(coff)]+=coff
orig[1000:1000+len(lh)]+=lh
orig[10000:10000+len(js)]+=js
T=44100*0.5
TT=T*4;TK=coff
orig[TT:TT+len(TK)]+=TK
TT=T*12;TK=lh
orig[TT:TT+len(TK)]+=TK
TT=T*16;TK=viv
orig[TT:TT+len(TK)]+=TK
TT=T*20;TK=js
orig[TT:TT+len(TK)]+=TK
TT=T*21;TK=coff
orig[TT:TT+len(TK)]+=TK
TT=T*23;TK=lh
orig[TT:TT+len(TK)]+=TK
TT=T*24;TK=viv
orig[TT:TT+len(TK)]+=TK
TT=T*24.75;TK=js
orig[TT:TT+len(TK)]+=TK
TT=T*25;TK=coff
orig[TT:TT+len(TK)]+=TK
TT=T*28;TK=crav
orig[TT:TT+len(TK)]+=TK
TT=T*28.5;TK=crav
orig[TT:TT+len(TK)]+=TK
TT=T*29;TK=crav[::-1]
orig[TT:TT+len(TK)]+=TK
TT=T*30;TK=crav[::-1]
orig[TT:TT+len(TK)]+=TK
TT=T*31;TK=crav
orig[TT:TT+len(TK)]+=TK
TT=T*36;TK=crave
orig[TT:TT+len(TK)]+=TK
TT=T*36.5;TK=crave
orig[TT:TT+len(TK)]+=TK
TT=T*37;TK=crav[::-1][:len(crav)/2]
orig[TT:TT+len(TK)]+=TK
TT=T*38;TK=crav[::-1][len(crav)/2:]
orig[TT:TT+len(TK)]+=TK
TT=T*38.5;TK=crava[::-1]
orig[TT:TT+len(TK)]+=TK
TT=T*39;TK=cravo+cravo[::-1]
orig[TT:TT+len(TK)]+=TK
TT=T*40;TK=crav[len(crav)/2:]
orig[TT:TT+len(TK)]+=TK
TT=T*41;TK=crav[:len(crav)/2]
orig[TT:TT+len(TK)]+=TK
TT=T*42;TK=crav[::-1][:len(crav)/2]
orig[TT:TT+len(TK)]+=TK
TT=T*43;TK=crav[::-1][len(crav)/2:]
orig[TT:TT+len(TK)]+=TK
TT=T*40;TK=crave
orig[TT:TT+len(TK)]+=TK
TT=T*41;TK=crava
orig[TT:TT+len(TK)]+=TK
TT=T*42;TK=cravo[::-1]
orig[TT:TT+len(TK)]+=TK
TT=T*43;TK=crav_[::-1]
orig[TT:TT+len(TK)]+=TK
TT=T*48;TK=crav[len(crav)/2:]
orig[TT:TT+len(TK)]+=TK
TT=T*49;TK=crav[:len(crav)/2]
orig[TT:TT+len(TK)]+=TK
TT=T*50;TK=crav[::-1][:len(crav)/2]
orig[TT:TT+len(TK)]+=TK
TT=T*51;TK=crav[::-1][len(crav)/2:]
orig[TT:TT+len(TK)]+=TK
TT=T*52;TK=crav_
orig[TT:TT+len(TK)]+=TK
TT=T*56;TK=crav_[::-1]
orig[TT:TT+len(TK)]+=TK
TT=T*4;TK=coff[::-1]
TT+=T*80
orig[TT:TT+len(TK)]+=TK
TT=T*12;TK=lh[::-1]
TT+=T*80
orig[TT:TT+len(TK)]+=TK
TT=T*16;TK=viv[::-1]
TT+=T*80
orig[TT:TT+len(TK)]+=TK
TT=T*20;TK=js[::-1]
TT+=T*80
orig[TT:TT+len(TK)]+=TK
TT=T*21;TK=coff
TT+=T*80
orig[TT:TT+len(TK)]+=TK
TT=T*23;TK=lh[::-1]
TT+=T*80
orig[TT:TT+len(TK)]+=TK
TT=T*24;TK=viv
TT+=T*80
orig[TT:TT+len(TK)]+=TK
TT=T*24.75;TK=js[::-1]
TT+=T*80
orig[TT:TT+len(TK)]+=TK
TT=T*25;TK=coff[::-1]
TT+=T*80
orig[TT:TT+len(TK)]+=TK
TT=T*25.3;TK=coff
TT+=T*80
orig[TT:TT+len(TK)]+=TK
s=orig
s=((s-s.min())/(s.max()-s.min()))*2.-1.
s = n.int16(s * float(2**15-1))
w.write("lunhani.wav",f_a, s) # escrita do som