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50 lines
1.6 KiB
50 lines
1.6 KiB
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import numpy as np
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import paddle
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from .base import FeatTest
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from paddleaudio.functional.window import get_window
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from paddlespeech.s2t.transform.spectrogram import IStft
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from paddlespeech.s2t.transform.spectrogram import Stft
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class TestIstft(FeatTest):
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def initParmas(self):
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self.n_fft = 512
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self.hop_length = 128
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self.window_str = 'hann'
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def test_istft(self):
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ps_stft = Stft(self.n_fft, self.hop_length)
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ps_res = ps_stft(
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self.waveform.T).squeeze(1).T # (n_fft//2 + 1, n_frmaes)
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x = paddle.to_tensor(ps_res)
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ps_istft = IStft(self.hop_length)
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ps_res = ps_istft(ps_res.T)
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window = get_window(
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self.window_str, self.n_fft, dtype=self.waveform.dtype)
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pd_res = paddle.signal.istft(
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x, self.n_fft, self.hop_length, window=window)
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np.testing.assert_array_almost_equal(ps_res, pd_res, decimal=5)
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if __name__ == '__main__':
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unittest.main()
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