def per_file(f, X, Y):
wav_filename = dirs.get_wav(f)
txt_filename = dirs.get_txt(f)
wav_data, samplerate = ap.get_wav_data(wav_filename)
framesamp = 1024
hopsamp = 80
x = features.get_wav_data_as_feature(wav_data, framesamp, hopsamp, True)
y = features.get_txt_as_label_for_note(txt_filename, 60, samplerate/8, framesamp, hopsamp, len(x))
# y = features.get_txt_as_label_for_note(txt_filename, 102, samplerate/8, framesamp, hopsamp, len(x))
start, end = ut.get_trim_indices(x)
trunc = 2000
if end-start > trunc:
print("\t%d windows, truncated to %d" % (end-start, trunc))
end = min(end, trunc+start)
subx = x[start: end]
suby = y[start: end]
# get rid of complex complexities
subx = abs(subx)
# ind = random.sample(range(len(subx)), samples_per_file)
# subx = [subx[i] for i in ind]
# suby = [suby[i] for i in ind]
X.append(copy.deepcopy(subx))
Y.append(copy.deepcopy(suby))
def get_data(f, note, sub = True):
global framesamp, hopsamp
wav_filename = dirs.get_wav(f)
txt_filename = dirs.get_txt(f)
wav_data, samplerate = ap.get_wav_data(wav_filename)
x = features.get_wav_data_as_feature(wav_data, framesamp, hopsamp, True)
y = features.get_txt_as_label_for_note(txt_filename, note, samplerate/8, framesamp, hopsamp, len(x), True)
start, end = ut.get_trim_indices(x)
end = min(end, windows_per_file + start)
x = x[start:end]
y = y[start:end]
posx = []
posy = []
negx = []
negy = []
# balance
for i in range(len(x)):
if y[i]:
posx.append(x[i])
posy.append(y[i])
else:
negx.append(x[i])
negy.append(y[i])
return (copy.deepcopy(posx), copy.deepcopy(posy), copy.deepcopy(negx), copy.deepcopy(negy))
def get_wav_file_as_feature(filename, framesamp, hopsamp, downsample=False):
data, samplerate = ap.get_wav_data(filename)
return get_wav_data_as_feature(data, framesamp, hopsamp, downsample)