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import torch
from torch_complex.tensor import ComplexTensor
from espnet2.enh.decoder.abs_decoder import AbsDecoder
from espnet2.layers.stft import Stft
class STFTDecoder(AbsDecoder):
"""STFT decoder for speech enhancement and separation """
def __init__(
self,
n_fft: int = 512,
win_length: int = None,
hop_length: int = 128,
window="hann",
center: bool = True,
normalized: bool = False,
onesided: bool = True,
):
super().__init__()
self.stft = Stft(
n_fft=n_fft,
win_length=win_length,
hop_length=hop_length,
window=window,
center=center,
normalized=normalized,
onesided=onesided,
)
def forward(self, input: ComplexTensor, ilens: torch.Tensor):
"""Forward.
Args:
input (ComplexTensor): spectrum [Batch, T, F]
ilens (torch.Tensor): input lengths [Batch]
"""
if not isinstance(input, ComplexTensor):
raise TypeError("Only support ComplexTensor for stft decoder")
wav, wav_lens = self.stft.inverse(input, ilens)
return wav, wav_lens
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