def build_win_mats(windows, frames):
"""Builds a window matrix of a given size for each window in a collection.
`windows` specifies the collection of windows as a sequence of
`(l, u, win_coeff)` triples, where `l` and `u` are non-negative integers
specifying the left and right extents of the window and `win_coeff` is an
array specifying the window coefficients.
The returned value is a list of window matrices, one for each of the
windows specified in `windows`.
Each window matrix is a `frames` by `frames` Toeplitz matrix with lower
bandwidth `l` and upper bandwidth `u`.
The non-zero coefficients in each row of this Toeplitz matrix are given by
`win_coeff`.
The returned window matrices are stored as BandMats, i.e. using a banded
representation.
"""
win_mats = []
for l, u, win_coeff in windows:
assert l >= 0 and u >= 0
assert len(win_coeff) == l + u + 1
win_coeffs = np.tile(np.reshape(win_coeff, (l + u + 1, 1)), frames)
win_mat = bm.band_c_bm(u, l, win_coeffs).T
win_mats.append(win_mat)
return win_mats
def build_win_mats(windows, frames):
"""Builds a window matrix of a given size for each window in a collection.
`windows` specifies the collection of windows as a sequence of
`(l, u, win_coeff)` triples, where `l` and `u` are non-negative integers
specifying the left and right extents of the window and `win_coeff` is an
array specifying the window coefficients.
The returned value is a list of window matrices, one for each of the
windows specified in `windows`.
Each window matrix is a `frames` by `frames` Toeplitz matrix with lower
bandwidth `l` and upper bandwidth `u`.
The non-zero coefficients in each row of this Toeplitz matrix are given by
`win_coeff`.
The returned window matrices are stored as BandMats, i.e. using a banded
representation.
"""
win_mats = []
for l, u, win_coeff in windows:
assert l >= 0 and u >= 0
assert len(win_coeff) == l + u + 1
win_coeffs = np.tile(np.reshape(win_coeff, (l + u + 1, 1)), frames)
win_mat = bm.band_c_bm(u, l, win_coeffs).T
win_mats.append(win_mat)
return win_mats
def _build_win_mats(windows, num_frames):
r"""For MLPG. Builds a window matrix of a given size for each window in a collection.
Parameters
----------
windows : list[window]
Specifies the collection of windows as a sequence of `window` tuples with the structure `(l, u, win_coeff)`,
where `l` and `u` are non-negative integers specifying the left and right extents of the window and
`win_coeff` is an array specifying the window coefficients.
num_frames : int
Number of frames in the signal.
Returns
-------
list[BandMat]
Window matrices, one for each of the windows specified in `windows`. Each window matrix is a `frames` by
`frames` Toeplitz matrix with lower bandwidth `l` and upper bandwidth `u`. The non-zero coefficients in each
row of this Toeplitz matrix are given by `win_coeff`. The window matrices are stored as BandMats, i.e. using
a banded representation.
"""
win_mats = []
for l, u, win_coeff in windows:
assert l >= 0 and u >= 0
assert len(win_coeff) == l + u + 1
win_coeffs = np.tile(np.reshape(win_coeff, (l + u + 1, 1)), num_frames)
win_mat = bm.band_c_bm(u, l, win_coeffs).T
win_mats.append(win_mat)
return win_mats
def build_win_mats(self, windows, frames):
win_mats = []
for l, u, win_coeff in windows:
assert l >= 0 and u >= 0
assert len(win_coeff) == l + u + 1
win_coeffs = np.tile(np.reshape(win_coeff, (l + u + 1, 1)), frames)
win_mat = bm.band_c_bm(u, l, win_coeffs).T
win_mats.append(win_mat)
return win_mats
def build_win_mats(self, windows, frames):
win_mats = []
for l, u, win_coeff in windows:
assert l >= 0 and u >= 0
assert len(win_coeff) == l + u + 1
win_coeffs = np.tile(np.reshape(win_coeff, (l + u + 1, 1)), frames)
win_mat = bm.band_c_bm(u, l, win_coeffs).T
win_mats.append(win_mat)
return win_mats
def build_win_mats(windows, frames):
"""Builds a window matrix of a given size for each window in a collection.
"""
winMats = []
for l, u, winCoeff in windows:
assert l >= 0 and u >= 0
assert len(winCoeff) == l + u + 1
winCoeffs = np.tile(np.reshape(winCoeff, (l + u + 1, 1)), frames)
winMat = bm.band_c_bm(u, l, winCoeffs).T
winMats.append(winMat)
return winMats
def test_band_c_bm(self, its=50):
for it in range(its):
size = random.choice([0, 1, randint(0, 10), randint(0, 100)])
l = random.choice([0, 1, randint(0, 10)])
u = random.choice([0, 1, randint(0, 10)])
mat_rect = randn(l + u + 1, size)
mat_bm = bm.band_c_bm(l, u, mat_rect)
mat_full_good = fl.band_c(l, u, mat_rect)
assert_allequal(mat_bm.full(), mat_full_good)
assert not np.may_share_memory(mat_bm.data, mat_rect)
def test_band_c_bm(self, its=50):
for it in range(its):
size = random.choice([0, 1, randint(0, 10), randint(0, 100)])
l = random.choice([0, 1, randint(0, 10)])
u = random.choice([0, 1, randint(0, 10)])
mat_rect = randn(l + u + 1, size)
mat_bm = bm.band_c_bm(l, u, mat_rect)
mat_full_good = fl.band_c(l, u, mat_rect)
assert_allequal(mat_bm.full(), mat_full_good)
assert not np.may_share_memory(mat_bm.data, mat_rect)
def build_win_mats(windows, T):
win_mats = []
for l, u, win_coeff in windows:
win_coeffs = numpy.tile(numpy.reshape(win_coeff, (l + u + 1, 1)), T)
win_mat = bandmat.band_c_bm(u, l, win_coeffs).T
win_mats.append(win_mat)
return win_mats
def build_win_mats(windows, T):
"""Builds a window matrix of a given size for each window in a collection.
Args:
windows(list): specifies the collection of windows as a sequence of
``(l, u, win_coeff)`` triples, where ``l`` and ``u`` are non-negative
integers pecifying the left and right extents of the window and
``win_coeff`` is an array specifying the window coefficients.
T (int): Number of frames.
Returns:
list: The returned value is a list of window matrices, one for each of
the windows specified in ``windows``. Each window matrix is a
``T`` by ``T`` Toeplitz matrix with lower bandwidth ``l`` and upper
bandwidth ``u``. The non-zero coefficients in each row of this Toeplitz
matrix are given by ``win_coeff``.
The returned window matrices are stored as BandMats, i.e. using a
banded representation.
Examples:
>>> from nnmnkwii import paramgen as G
>>> import numpy as np
>>> windows = [
... (0, 0, np.array([1.0])), # static
... (1, 1, np.array([-0.5, 0.0, 0.5])), # delta
... (1, 1, np.array([1.0, -2.0, 1.0])), # delta-delta
... ]
>>> win_mats = G.build_win_mats(windows, 3)
"""
win_mats = []
for l, u, win_coeff in windows:
assert l >= 0 and u >= 0
assert len(win_coeff) == l + u + 1
win_coeffs = np.tile(np.reshape(win_coeff, (l + u + 1, 1)), T)
win_mat = bm.band_c_bm(u, l, win_coeffs).T
win_mats.append(win_mat)
return win_mats