def test_preemphasis(self):
y = self.x
yFilterd = transform.preemphasis(y, 0.97)
tc.assert_equal(yFilterd.shape, y.shape)
tc.assert_isreal(yFilterd)
tc.assert_equal(yFilterd[0], y[0])
def test_mfcc(self):
path = get_file_path("sample.wav")
y = audioread(path)[0]
y_filtered = transform.mfcc(y)
tc.assert_equal(y_filtered.shape, (291, 13))
tc.assert_isreal(y_filtered)
def test_offcomp(self):
y = self.x
yFilterd = transform.offset_compensation(y)
tc.assert_equal(yFilterd.shape, y.shape)
tc.assert_isreal(yFilterd)
tc.assert_array_not_equal(yFilterd[1:], y[1:])
tc.assert_equal(yFilterd[0], y[0])
def test_mfcc(self):
path = get_file_path("sample.wav")
y = audioread(path)[0]
yFilterd = transform.ssc(y)
tc.assert_equal(yFilterd.shape, (294, 26))
tc.assert_isreal(yFilterd)
def test_fbank(self):
path = get_file_path("sample.wav")
y = audioread(path)[0]
feature = transform.fbank(y)
tc.assert_equal(feature.shape, (240, 23))
tc.assert_isreal(feature)
tc.assert_array_greater_equal(feature, 0)
def test_spectrogram_and_energy(self):
x = self.x
X = stft(x)
spectrogram = stft_to_spectrogram(X)
energy = spectrogram_to_energy_per_frame(spectrogram)
tc.assert_equal(X.shape, (154, 513))
tc.assert_equal(spectrogram.shape, (154, 513))
tc.assert_isreal(spectrogram)
tc.assert_array_greater_equal(spectrogram, 0)
tc.assert_equal(energy.shape, (154, ))
tc.assert_isreal(energy)
tc.assert_array_greater_equal(energy, 0)