def test_removesf():
x = np.random.randn(2 * FS, )
y = np.random.randn(2 * FS, )
x_m = matlab.double(list(x))
y_m = matlab.double(list(y))
xs, ys = remove_silent_frames(x, y, DYN_RANGE, N_FRAME, N_FRAME / 2)
xs_m, ys_m = eng.removeSilentFrames(x_m,
y_m,
float(DYN_RANGE),
float(N_FRAME),
float(N_FRAME / 2),
nargout=2)
xs_m, ys_m = np.array(xs_m._data), np.array(ys_m._data)
assert_allclose(xs, xs_m, atol=ATOL)
assert_allclose(ys, ys_m, atol=ATOL)
def test_removesf():
"""Test remove_silent_frames by comparing to Octave"""
# Initialize
x = np.random.randn(2 * FS)
y = np.random.randn(2 * FS)
# Add silence segment
silence = np.zeros(3 * NFFT, )
x = np.concatenate([x[:FS], silence, x[FS:]])
y = np.concatenate([y[:FS], silence, y[FS:]])
xs, ys = remove_silent_frames(x, y, DYN_RANGE, N_FRAME, N_FRAME // 2)
xs_m, ys_m = octave.feval('octave/removeSilentFrames.m',
x, y, float(DYN_RANGE),
float(N_FRAME),
float(N_FRAME / 2),
nout=2)
xs_m = np.squeeze(xs_m)
ys_m = np.squeeze(ys_m)
assert_allclose(xs, xs_m, atol=ATOL)
assert_allclose(ys, ys_m, atol=ATOL)
def test_removesf():
# Initialize
x = np.random.randn(2 * FS, )
y = np.random.randn(2 * FS, )
# Add silence segment
silence = np.zeros(3 * NFFT, )
x = np.concatenate([x[:FS], silence, x[FS:]])
y = np.concatenate([y[:FS], silence, y[FS:]])
x_m = matlab.double(list(x))
y_m = matlab.double(list(y))
xs, ys = remove_silent_frames(x, y, DYN_RANGE, N_FRAME, N_FRAME / 2)
xs_m, ys_m = eng.removeSilentFrames(x_m,
y_m,
float(DYN_RANGE),
float(N_FRAME),
float(N_FRAME / 2),
nargout=2)
xs_m, ys_m = np.array(xs_m._data), np.array(ys_m._data)
assert_allclose(xs, xs_m, atol=ATOL)
assert_allclose(ys, ys_m, atol=ATOL)