def test_wavread(self):
fn = data_file_path('beijing_f3_50_a.wav')
samples, Fs = wavread(fn)
expected = loadmat('beijing_f3_50_a-wavread-expected')
self.assertEqual(Fs, expected['Fs'])
# XXX may need to use allclose here instead of array_equal.
if not np.array_equal(samples, expected['y']):
# Produce a useful error message for debugging.
self.assertEqual(list(samples), list(expected['y']))
def test_second_peak_index(self):
data = loadmat("twomax_data")
x = data["x"]
for i in range(142, 146):
# Zap the values in the second peak range to exercise the branch.
x[i] = 0.0001 * i
mag, index = two_max(x, int(data["lowerbound"]) - 1, int(data["upperbound"]) - 1, data["unitlen"])
np.testing.assert_array_almost_equal(mag, np.append(data["mag"], 0.0145))
np.testing.assert_array_equal(index, [int(data["index"]) - 1, 145])
def test_with_matlab_data(self):
data = loadmat("shrp_data")
f0_time, f0_value, shr, f0_candidates = shrp(
data["Y"],
int(data["Fs"]),
[int(x) for x in data["F0MinMax"]],
int(data["frame_length"]),
int(data["timestep"]),
data["SHR_Threshold"],
data["ceiling"],
data["med_smooth"],
data["CHECK_VOICING"],
)
np.testing.assert_array_almost_equal(f0_time, data["f0_time"])
np.testing.assert_array_almost_equal(f0_value, data["f0_value"])
np.testing.assert_array_almost_equal(shr, data["SHR"])
np.testing.assert_array_almost_equal(f0_candidates, data["f0_candidates"])
def matlab_fn_as_matlab_input_data(self, filename):
data = loadmat(filename)
peak_index, shr, shshift, index = compute_shr(
data["log_spectrum"],
data["min_bin"],
data["startpos"].astype(int) - 1,
data["endpos"].astype(int) - 1,
int(data["lowerbound"]) - 1,
int(data["upperbound"]) - 1,
int(data["N"]),
int(data["shift_units"]),
data["SHR_Threshold"],
)
np.testing.assert_array_equal(peak_index, int(data["peak_index"]) - 1)
np.testing.assert_array_almost_equal(shr, data["SHR"])
np.testing.assert_array_almost_equal(shshift, data["shshift"])
np.testing.assert_array_almost_equal(index, data["index"] - 1)
def matlab_fn_as_matlab_input_data(self, filename):
data = loadmat(filename)
mag, index = two_max(data["x"], int(data["lowerbound"]) - 1, int(data["upperbound"]) - 1, data["unitlen"])
np.testing.assert_array_almost_equal(mag, data["mag"])
np.testing.assert_array_almost_equal(index, int(data["index"]) - 1)
def test_with_matlab_data(self):
data = loadmat("toframes_data")
res = toframes(data["input"], data["curpos"].astype(int) - 1, int(data["segmentlen"]), "hamm")
np.testing.assert_array_almost_equal(res, data["frames"])
def test_with_matlab_data(self):
data = loadmat("shr_pitch_data")
wav_data, fps = wavread(data_file_path("beijing_f3_50_a.wav"))
shr, f0 = shr_pitch(wav_data, fps, 25, 1, 50, 550, 0.4, 5, 200)
np.testing.assert_array_almost_equal(f0, data["F0"])
np.testing.assert_array_almost_equal(shr, data["SHR"])
def test_with_matlab_data(self):
data = loadmat("GetLogSpectrum_data")
interp_amplitude = get_log_spectrum(
data["segment"], data["fftlen"], data["limit"] - 1, data["logf"], data["interp_logf"]
)
np.testing.assert_array_almost_equal(interp_amplitude, data["interp_amplitude"])
