def test_silence_low_only(self):
signal = sp.Signal(np.zeros(8000) + 1e-10, 2000)
voiced = silence.remove(signal)
self.assertEqual(voiced.size, 0)
def test_silence_empty_signal(self):
signal = sp.Signal([], 16000)
voiced = silence.remove(signal)
self.assertEqual(voiced.size, 0)
def test_silence_no_sil_high(self):
signal = sp.Signal(np.zeros(32000) + 1e5, 8000)
voiced = silence.remove(signal)
pading = 40
self.assertLessEqual(voiced.size - pading, signal.size)
def test_zero_silence_only_input(self):
signal = sp.Signal(np.zeros(32000), 16000)
voiced = silence.remove(signal)
pading = 80
self.assertLessEqual(voiced.size - pading, signal.size)
def test_voiced_smaller(self):
amps = np.zeros(32000)
amps[2000:4000] += 1
signal = sp.Signal(amps, 16000)
voiced = silence.remove(signal)
self.assertLessEqual(voiced.size, 8000)
def test_zero_as_max(self):
signal = sp.Signal(np.arange(2 * 200) * 0.0, 200)
normalised_signal = sp.normalise(signal)
expected = np.arange(2 * 200) * 0.0
self.assertNumpyArrayEqual(expected, normalised_signal.amps)
def test_negative_amps(self):
signal = sp.Signal(np.arange(-300, 100), 200)
normalised_signal = sp.normalise(signal)
expected = np.arange(-300, 100) / 300
self.assertNumpyArrayEqual(expected, normalised_signal.amps)
def test_inside(self):
signal = sp.Signal(np.arange(2 * 200), 200)
normalised_signal = sp.normalise(signal)
expected = np.arange(2 * 200) / 399
self.assertNumpyArrayEqual(expected, normalised_signal.amps)