def __init__(
self,
n_fft: int,
win_length: int,
hop_length: int,
n_iter: int,
window_fn=torch.hann_window,
):
super(GriffinLim, self).__init__()
self.transform = TTSSpectrogram(n_fft,
win_length,
hop_length,
return_phase=True)
basis = get_fourier_basis(n_fft)
basis = torch.pinverse(n_fft / hop_length * basis).T[:, None, :]
basis *= get_window(window_fn, n_fft, win_length)
self.register_buffer("basis", basis)
self.n_fft = n_fft
self.win_length = win_length
self.hop_length = hop_length
self.n_iter = n_iter
self.tiny = 1.1754944e-38
def get_window_sum_square(cls,
n_frames,
hop_length,
win_length,
n_fft,
window_fn=torch.hann_window) -> torch.Tensor:
w_sq = get_window(window_fn, n_fft, win_length)**2
n = n_fft + hop_length * (n_frames - 1)
x = torch.zeros(n, dtype=torch.float32)
for i in range(n_frames):
ofst = i * hop_length
x[ofst:min(n, ofst + n_fft)] += w_sq[:max(0, min(n_fft, n - ofst))]
return x
