forked from GreyElaina/SingingPiano
-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathsingingpiano.py
402 lines (371 loc) · 16.9 KB
/
singingpiano.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
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
import os
import sys
import math
import locale
import libs
from typing import List
modulever = '1.3.2.0'
date = '2020/3/19'
M_OICQ = str(3080968787)
try:
#from tqdm import trange
import mido
from math import sqrt
import wave
import struct
from numpy import zeros, array, frombuffer, shape, log
import scipy.io.wavfile
from tap import Tap
except ImportError as e:
print(f"lack_of_dependencies: {e}")
input()
exit()
def wavefileReadUnpack(filename, channelLR="", progressbarObject=None):
try:
wavefile = open(filename, 'r') # open for writing
except IOError as e:
print("file_doesntexist")
print(e)
return None, None
framerate, wavarr = scipy.io.wavfile.read(filename)
if len(shape(wavarr)) != 1:
if channelLR == "":
return wavarr.sum(axis=1)/2, framerate
elif channelLR == "L":
return wavarr[0], framerate
elif channelLR == "R":
return wavarr[0], framerate
else:
raise ValueError("Invalid channel value: %s" % channelLR)
else:
return array(wavarr), framerate
def wavefileReadUnpack_Obsolete(filename, channelLR="", progressbarObject=None):
try:
wavefile = wave.open(filename, 'r') # open for writing
except IOError as e:
print("file_doesntexist")
print(e)
return None, None
#nchannels = wavefile.getnchannels()
sample_width = wavefile.getsampwidth()
framerate = wavefile.getframerate()
numframes = wavefile.getnframes()
y = zeros(numframes, dtype="float16")
if sample_width == 2:
packtype = "h"
elif sample_width == 4:
packtype = "l"
else:
print("Unsupported Wave File (Sample Width).")
input()
raise ValueError
# trange(numframes,dynamic_ncols=True,ascii=True,smoothing=1,mininterval=0.25,unit="*4B",unit_scale=True,unit_divisor=1024):
for i in range(numframes):
# if i%4==0:
# progress display for gui
if i % int((numframes/200.0)+0.5) == 0 and not progressbarObject == None:
# print(column,'\t',int(i/(numframes/100.0)+0.5),'%')
progressbarObject.setProperty(
"value", int(i/(numframes/100.0)+0.5)/100.0)
j = i
val = wavefile.readframes(1)
if channelLR == "":
left = val[0:sample_width]
right = val[sample_width:2*sample_width]
y[j] = round((struct.unpack(packtype, left)[0] +
struct.unpack(packtype, right)[0])/2)
elif channelLR == "L":
left = val[0:sample_width]
y[j] = round((struct.unpack(packtype, left)[0])/2)
elif channelLR == "R":
right = val[sample_width:2*sample_width]
y[j] = round((struct.unpack(packtype, right)[0])/2)
wavefile.close()
if progressbarObject:
progressbarObject.setProperty("value", 1.0)
return y, framerate
def DFT128(RawPCM, framerate, basicFreq=440, ticklength=50, memoryerror="throw", progressbarObject=None):
"""
Use native lib to convert waveform into Spectrogram which have 128 specific frequencies
according to MIDI specification (Equal Temp., modern tuning 440Hz).
Support analysing based on other Tuning Standard, eg. 432Hz.
Returning: 2D Numpy Array Object with size T x F , where F=128
"""
sampleLength = len(RawPCM)/framerate
print(f"sampleLength={sampleLength}")
def melspec(y, fr, nfft, frame_size=0.100, frame_stride=0.050, basicFreq=440, progressbarObject=None):
if progressbarObject:
progressbarObject.setProperty("indeterminate", True)
progressbarObject.setProperty("value", 0.0)
import numpy
NFFT = nfft
sample_rate = fr
nfilt = 128
# algorithm from https://haythamfayek.com/2016/04/21/speech-processing-for-machine-learning.html
frame_length, frame_step = frame_size * sample_rate, frame_stride * \
sample_rate # Convert from seconds to samples
signal_length = len(y)
frame_length = int(round(frame_length))
frame_step = int(round(frame_step))
# Make sure that we have at least 1 frame
num_frames = int(numpy.ceil(
float(numpy.abs(signal_length - frame_length)) / frame_step))
pad_signal_length = num_frames * frame_step + frame_length
z = numpy.zeros((pad_signal_length - signal_length))
# Pad Signal to make sure that all frames have equal number of samples without truncating any samples from the original signal
pad_signal = numpy.append(y, z)
indices = numpy.tile(numpy.arange(0, frame_length), (num_frames, 1)) + numpy.tile(
numpy.arange(0, num_frames * frame_step, frame_step), (frame_length, 1)).T
frames = pad_signal[indices.astype(numpy.int32, copy=False)]
frames *= numpy.hamming(frame_length)
mag_frames = numpy.absolute(numpy.fft.rfft(
frames, NFFT)) # Magnitude of the FFT
pow_frames = ((1.0 / NFFT) * ((mag_frames) ** 2)) # Power Spectrum
# --------
hz_points = numpy.array([0]+libs.const.pitch+[22050])*basicFreq/440
bin = numpy.floor((NFFT + 1) * hz_points / sample_rate)
fbank = numpy.zeros((nfilt, int(numpy.floor(NFFT / 2 + 1))))
for m in range(1, nfilt + 1):
f_m_minus = int(bin[m - 1]) # left
f_m = int(bin[m]) # center
f_m_plus = int(bin[m + 1]) # right
for k in range(f_m_minus, f_m):
fbank[m - 1, k] = (k - bin[m - 1]) / (bin[m] - bin[m - 1])
for k in range(f_m, f_m_plus):
fbank[m - 1, k] = (bin[m + 1] - k) / (bin[m + 1] - bin[m])
filter_banks = numpy.dot(pow_frames, fbank.T)
filter_banks = numpy.where(filter_banks == 0, numpy.finfo(
float).eps, filter_banks) # Numerical Stability
filter_banks = filter_banks/nfft*2.6e7
# filter_banks = 20 * numpy.log10(filter_banks) # dB
if progressbarObject:
progressbarObject.setProperty("indeterminate", False)
progressbarObject.setProperty("value", 1.0)
return filter_banks
try:
NFTData = melspec(RawPCM, framerate, 16384, frame_size=2*ticklength/1000,
frame_stride=ticklength/1000, basicFreq=basicFreq, progressbarObject=progressbarObject)
# libs.myalgs.specgram(RawPCM, framerate, ticklength/1000.0,#*2,
# ticklength/1000.0, basicFreq=basicFreq,progressbarObject=progressbarObject)
except MemoryError as e:
print("memoryerror")
if memoryerror == "throw":
raise e
return None
print(f"F:{len(NFTData[0])},T:{len(NFTData)}")
notesOverFlow = 0
c = 16.5 # empirical
def dataPickle(x):
return log(sqrt(x))/c if not sqrt(x) == 0 else -2147483648
n_max, n_min = 0, 1
# *# n = 1/c*ln(sqrt(x))
# *# c : constant
# *# x : spectrogram value
# trange(len(NFTData),dynamic_ncols=True,ascii=True,smoothing=1,mininterval=0.25,unit="ticks",unit_scale=False,unit_divisor=1024):
for i in range(len(NFTData)):
for k in range(len(NFTData[0])):
this_n = dataPickle(NFTData[i][k])
pitch = libs.const.pitch[k]*basicFreq/440
# imi.append(this_n)
if this_n < n_min and not this_n == -2147483648:
n_min = this_n
if this_n > n_max:
n_max = this_n
if this_n >= 1:
notesOverFlow += 1
this_n = 1
if this_n < 0:
this_n = 0
if pitch > 1/ticklength*1000 and pitch < framerate/2: # Information Theory Bounds
NFTData[i][k] = this_n
else:
NFTData[i][k] = 0
print(f"Overflowed:{notesOverFlow},min:{n_min},max:{n_max}")
if progressbarObject:
progressbarObject.setProperty("value", 1.0)
return NFTData
def NFTData2MIDI(NFTData, lim=0, tempo=500, trackcount=8, ticklength=50, basicFreq=440, pitchwheel=True, progressbarObject=None):
pitch = log(basicFreq/440.0)/log(2)*12*4096
offlist = [[] for i in range(trackcount)]
inst = 0
# tempo=480
ratio = 1
patt = mido.MidiFile(type=1)
patt.ticks_per_beat = 500
notec = 0
last_col = 0
notesvolrange = 256
notespartial = 0.25
tracksplitter = 64
onetick = round(ticklength*(tempo/500))
notesoverflowed = 0
for i in range(trackcount):
l = i if i < 4 else 8 + i
patt.add_track()
patt.tracks[i].append(mido.Message(
"program_change", channel=l, program=74))
patt.tracks[i].append(mido.Message(
"control_change", channel=l, control=7, value=30)) # change volume 40-10
if -8192 <= pitch < 8192 and pitchwheel:
patt.tracks[i].append(mido.Message(
"pitchwheel", channel=l, pitch=int(round(pitch))))
evenCol = False
first_row = [0 for i in range(trackcount)]
tc = [0 if i >= 4 else onetick for i in range(trackcount)]
# trange(len(NFTData),dynamic_ncols=True,ascii=True,smoothing=1,mininterval=0.25,unit="ticks",unit_scale=False,unit_divisor=1024):
for column in range(len(NFTData)):
# progress display for gui
if column % int((len(NFTData)/100.0)+0.5) == 0 and not progressbarObject == None:
# print(column,'\t',int(column/(len(NFTData)/100.0)+0.5),'%')
progressbarObject.setProperty("value", int(
column/(len(NFTData)/100.0)+0.5)/100.0)
for row in range(len(NFTData[0])):
# print(0)
vol = max(0, (NFTData[column][row] -
(1-notespartial))*notesvolrange/notespartial)
if round(vol) > lim and vol >= 0:
# if row >= 24 and row <= 107:
thisnoteoverflowed = True
for l in range(4):
if vol <= tracksplitter*(l+1) and vol > tracksplitter*l:
thisnoteoverflowed = False
notec += 1
_v = int(round(vol/ratio))
m1, m2 = 0, 0
channel = l if evenCol else 15 - l
num = l if evenCol else 7 - l
if first_row[num]:
m1 = tc[num]-onetick*2
m2 = onetick*2
tc[num] = 0
first_row[num] = False
patt.tracks[num].append(
mido.Message('note_on', channel=channel, note=row, time=m1,
velocity=_v if _v < 128 else 127))
offlist[num].append(
mido.Message('note_off', channel=channel, note=row, time=m2,
velocity=_v if _v < 128 else 127))
if thisnoteoverflowed:
notesoverflowed += 1
continue
for l in range(4):
channel = l if evenCol else 15 - l
num = l if evenCol else 7 - l
tc[num] += onetick*2
patt.tracks[num].extend(offlist[num])
offlist[num] = []
first_row[num] = True
evenCol = not evenCol
if progressbarObject:
progressbarObject.setProperty("value", 1.0)
print(f"OverFlowedInMIDIGeneration:{notesoverflowed}")
return patt, notec
def NFTData2MIDI_Obsolete(NFTData, lim=0, tempo=500, trackcount=8, ticklength=50, basicFreq=440, pitchwheel=True, progressbarObject=None):
pitch = log(basicFreq/440.0)/log(2)*12*4096
offlist = [[] for i in range(trackcount)]
inst = 0
# tempo=480
ratio = 1
patt = mido.MidiFile(type=1)
patt.ticks_per_beat = 500
notec = 0
last_col = 0
amplifier = 128
tracksplitter = 8
onetick = round(ticklength*(tempo/500))
for i in range(trackcount):
l = i if i < 4 else 8 + i
patt.add_track()
patt.tracks[i].append(mido.Message(
"program_change", channel=l, program=74))
if -8192 <= pitch < 8192 and pitchwheel:
patt.tracks[i].append(mido.Message(
"pitchwheel", channel=l, pitch=int(round(pitch))))
evenCol = False
first_row = [0 for i in range(trackcount)]
tc = [0 if i >= 4 else onetick for i in range(trackcount)]
# trange(len(NFTData),dynamic_ncols=True,ascii=True,smoothing=1,mininterval=0.25,unit="ticks",unit_scale=False,unit_divisor=1024):
for column in range(len(NFTData)):
# progress display for gui
if column % int((len(NFTData)/100.0)+0.5) == 0 and not progressbarObject == None:
# print(column,'\t',int(column/(len(NFTData)/100.0)+0.5),'%')
progressbarObject.setProperty("value", int(
column/(len(NFTData)/100.0)+0.5)/100.0)
for row in range(len(NFTData[0])):
# print(0)
vol = max(0, NFTData[column][row]*amplifier-96)
if round(vol) > lim and vol >= 0:
# if row >= 24 and row <= 107:
for l in range(4):
if vol <= tracksplitter*(l+1) and vol > tracksplitter*l:
notec += 1
_v = int(round(vol/ratio))
m1, m2 = 0, 0
channel = l if evenCol else 15 - l
num = l if evenCol else 7 - l
if first_row[num]:
m1 = tc[num]-onetick*2
m2 = onetick*2
tc[num] = 0
first_row[num] = False
patt.tracks[num].append(
mido.Message('note_on', channel=channel, note=row, time=m1,
velocity=_v if _v < 128 else 127))
offlist[num].append(
mido.Message('note_off', channel=channel, note=row, time=m2,
velocity=_v if _v < 128 else 127))
continue
for l in range(4):
channel = l if evenCol else 15 - l
num = l if evenCol else 7 - l
tc[num] += onetick*2
patt.tracks[num].extend(offlist[num])
offlist[num] = []
first_row[num] = True
evenCol = not evenCol
if progressbarObject:
progressbarObject.setProperty("value", 1.0)
return patt, notec
def getTidrec(req):
"""Credit MnJS"""
return getTidrec.__doc__
class SingingPianoAP(Tap):
filenames: List[str] # Audio file name(s) as input.
basicfreq: int = 440 # The frequency of A3 in the audio file, cannot be too large or too small.
lim: int = 0 # Notes has the veocity greater than this will be added to MIDI output.
ticklength: int = 50 # The length of one tick(ms).
channel: str = "mixed" # Channel(s) to be read from the audio file. could be either "L", "R" or "mixed".
tempo: int = 500 # Special value, for experimental use.
nopitchwheel: bool = False # If the pitch wheel is enabled to adjust the basic frequency of MIDI output.
showargs: bool = False # If the args will be displayed.
def configure(self):
self.add_argument('filenames')
self.add_argument('-bf','--basicfreq')
self.add_argument('-l','--lim')
self.add_argument('-t','--ticklength')
self.add_argument('--tempo')
self.add_argument('--nopitchwheel')
self.add_argument('--showargs')
if __name__ == "__main__":
args = SingingPianoAP().parse_args()
if args.showargs:
print(args.__str__())
if len(args.filenames) == 0:
raise ValueError("No file inputed.")
for filename in args.filenames:
try:
print("Unpacking audio file: " + filename)
PCM, framerate = wavefileReadUnpack(filename, channelLR= "" if args.channel == "mixed" else args.channel)
print(f"Transforming data...")
DFTData = DFT128(PCM, framerate, basicFreq=args.basicfreq, ticklength=args.ticklength)
print(f"Writing out MIDI...")
patt, notec = NFTData2MIDI(DFTData,
lim=args.lim, tempo=args.tempo, ticklength=args.ticklength, basicFreq=args.basicfreq, pitchwheel= not args.nopitchwheel)
out = os.path.splitext(filename)[0] + ".mid"
print(f"Notes：{notec}")
patt.save(out)
print(f"MIDI output：{out}")
print("----------------------------------------------------------------")
except Exception as e:
print(repr(e))
print("All files processed.")