if DB == 'GTZAN':
label, pred = defaultdict(list), defaultdict(list)
else:
label, pred = list(), list()
chromagram = list()
gens = list()
idx = 0
gamma = 1
while idx < 4 and gamma < 1001:
print('gamma', gamma)
for f in tqdm(FILES):
f = f.replace('\\', '/')
# print("file: ", f)
content = utils.read_keyfile(f, '*.lerch.txt')
if (int(content) < 0): continue # skip saving if key not found
if DB == 'GTZAN':
gen = f.split('/')[2]
label[gen].append(utils.LABEL[int(content)])
gens.append(gen)
else:
label.append(utils.LABEL[content])
sr, y = utils.read_wav(f)
# gamma = input("gamma (1, 10, 100, 1000): ")
cxx = np.log(1 +
gamma * np.abs(librosa.feature.chroma_cens(y=y, sr=sr)))
chromagram.append(cxx) # store into list for further use
chroma_vector = np.sum(cxx, axis=1)
# GENRE.remove('classical')
# # print(GENRE)
n_fft = 100 # (ms)
hop_length = 25 # (ms)
if DB == 'GTZAN':
label, pred = defaultdict(list), defaultdict(list)
else:
label, pred = list(), list()
chromagram = list()
gens = list()
for f in tqdm(FILES):
f = f.replace('\\', '/')
# print("file: ", f)
content = utils.read_keyfile(f, '*.key')
if (len(content) < 0): continue # skip saving if key not found
if DB == 'GTZAN':
gen = f.split('/')[2]
label[gen].append(utils.LABEL[int(content)])
gens.append(gen)
else:
label.append(content)
sr, y = utils.read_wav(f)
cxx = librosa.feature.chroma_cqt(y=y, sr=sr)
chromagram.append(cxx) # store into list for further use
chroma_vector = np.sum(cxx, axis=1)
# print(chroma_vector)
key_ind = np.where(chroma_vector == np.amax(chroma_vector))
