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Running
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Zero
| # MIT License | |
| # | |
| # Copyright 2023 ByteDance Inc. | |
| # | |
| # Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), | |
| # to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, | |
| # and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: | |
| # | |
| # The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. | |
| # | |
| # THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS | |
| # IN THE SOFTWARE. | |
| import torchaudio | |
| from torch import nn | |
| class MelSTFT(nn.Module): | |
| def __init__( | |
| self, | |
| sample_rate=24000, | |
| n_fft=2048, | |
| hop_length=240, | |
| n_mels=128, | |
| is_db=False, | |
| ): | |
| super(MelSTFT, self).__init__() | |
| # spectrogram | |
| self.mel_stft = torchaudio.transforms.MelSpectrogram( | |
| sample_rate=sample_rate, n_fft=n_fft, hop_length=hop_length, n_mels=n_mels | |
| ) | |
| # amplitude to decibel | |
| self.is_db = is_db | |
| if is_db: | |
| self.amplitude_to_db = torchaudio.transforms.AmplitudeToDB() | |
| def forward(self, waveform): | |
| if self.is_db: | |
| return self.amplitude_to_db(self.mel_stft(waveform)) | |
| else: | |
| return self.mel_stft(waveform) | |