def f0Conversion(dataOut, outname):
""" Convert the discrete F0 into continuous F0, if the data is lf0
"""
fileDir = os.path.dirname(outname)
fileName = os.path.basename(outname)
fileBase, fileExt = os.path.splitext(fileName)
if fileExt == '.qf0' or fileExt == '.lf0':
# for F0
f0Max, f0Min, f0Levels, f0Interpolated = cfg.f0Info
defaultOutput(dataOut, fileDir + os.path.sep + fileBase + '.qf0')
dataOut, vuv = f0funcs.f0Conversion(dataOut, f0Max, f0Min, f0Levels, 'd2c', f0Interpolated)
if f0Interpolated:
vuvFile = fileDir + os.path.sep + fileBase + '.vuv'
if os.path.isfile(vuvFile):
vuv = funcs.read_raw_mat(vuvFile, 1)
dataOut[vuv<0.5] = 0.0
else:
print "Can't find %s for interpolated F0" % (vuvFile)
# if the extension is .qf0 (quantized F0)
defaultOutput(vuv, fileDir + os.path.sep + fileBase + '.vuv')
defaultOutput(dataOut, fileDir + os.path.sep + fileBase + '.lf0')
else:
# for other data
defaultOutput(dataOut, outname)
def f0Conversion(dataOut, outname):
""" Convert the discrete F0 into continuous F0, if the data is lf0
"""
fileDir = os.path.dirname(outname)
fileName = os.path.basename(outname)
fileBase, fileExt = os.path.splitext(fileName)
if fileExt == '.qf0' or fileExt == '.lf0':
# for F0
f0Max, f0Min, f0Levels, f0Interpolated = cfg.f0Info
defaultOutput(dataOut, fileDir + os.path.sep + fileBase + '.qf0')
dataOut, vuv = f0funcs.f0Conversion(dataOut, f0Max, f0Min, f0Levels, 'd2c', f0Interpolated)
if f0Interpolated:
vuvFile = fileDir + os.path.sep + fileBase + '.vuv'
if os.path.isfile(vuvFile):
vuv = funcs.read_raw_mat(vuvFile, 1)
dataOut[vuv<0.5] = 0.0
else:
print("Can't find %s for interpolated F0" % (vuvFile))
# if the extension is .qf0 (quantized F0)
defaultOutput(vuv, fileDir + os.path.sep + fileBase + '.vuv')
defaultOutput(dataOut, fileDir + os.path.sep + fileBase + '.lf0')
else:
# for other data
defaultOutput(dataOut, outname)
def generate(inFile1, inFile2, outfile):
data1 = np.asarray(py_rw.read_raw_mat(inFile1, 1), dtype=np.int32)
data2 = py_rw.read_raw_mat(inFile2, 1)
temp, _ = discreteF0.f0Conversion(data2.copy(), F0Max, F0Min, F0Inter,
'c2d', F0Conti)
data3 = np.zeros(data1.shape)
data3[data2[data1] > 0] = 1
py_rw.write_raw_mat(data3, outfile)
def f0convert(f0File, qF0Output, vuvOutputFile, f0Zero, f0Max, f0Min, f0Inter, f0Conti, f0Type):
if f0Type == 0:
data = py_rw.read_raw_mat(f0File, 1)
idx = data > 0
data[idx] = 1127.0 * np.log(data[idx]/700.0 + 1)
elif f0Type == 1:
data = py_rw.read_raw_lf0(f0File, 1)
idx = data > 0
F0Idx = data>f0Zero
dataClas, vuv = discreteF0.f0Conversion(data.copy(), f0Max, f0Min, f0Inter, 'c2d', f0Conti)
dataClas[vuv<1] = 0.0
py_rw.write_raw_mat(dataClas, qF0Output)
py_rw.write_raw_mat(vuv, vuvOutputFile)
with open(fileScp, 'r') as filePtr:
for idx, fileName in enumerate(filePtr):
fileName = fileName.rstrip('\n')
print idx, fileName,
filePath = fileDir + os.path.sep + fileName + fileExt
data = py_rw.read_raw_mat(filePath, fileDim)
if fileDim > 1:
temp = np.zeros([data.shape[0]])
temp = data[:,0]
data = temp
frameSum = frameSum + data.shape[0]
F0Idx = data>10
dataClas, vuv = discreteF0.f0Conversion(data, F0Max, F0Min, F0Inter, 'c2d', F0Conti)
dataClas[vuv<1] = 0.0
#dataClas = np.zeros([data.shape[0]])
#if F0Conti:
# # Continous F0
# pass
# dataClas[F0Idx] = np.round((data[F0Idx] - F0Min)/(F0Max - F0Min) * (F0Inter - 1))
#else:
# # Discontinuous F0, leave one dimension for unvoiced
# dataClas[F0Idx] = np.round((data[F0Idx] - F0Min)/(F0Max - F0Min) * (F0Inter - 2)) + 1
tmpmax = np.max(data[F0Idx])
tmpmin = np.min(data[F0Idx])
tmpmax2 = np.max(dataClas[F0Idx])
tmpmin2 = np.min(dataClas[F0Idx])