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PaddleSpeech/audio/tests/features/test_log_melspectrogram.py

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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import numpy as np
import paddle
import paddleaudio
from .base import FeatTest
from paddlespeech.s2t.transform.spectrogram import LogMelSpectrogram
class TestLogMelSpectrogram(FeatTest):
def initParmas(self):
self.n_fft = 512
self.hop_length = 128
self.n_mels = 40
def test_log_melspect(self):
ps_melspect = LogMelSpectrogram(self.sr, self.n_mels, self.n_fft,
self.hop_length)
ps_res = ps_melspect(self.waveform.T).squeeze(1).T
x = paddle.to_tensor(self.waveform)
# paddlespeech.s2t的特征存在幅度谱和功率谱滥用的情况
ps_melspect = paddleaudio.features.LogMelSpectrogram(
self.sr,
self.n_fft,
self.hop_length,
power=1.0,
n_mels=self.n_mels,
f_min=0.0)
pa_res = (ps_melspect(x) / 10.0).squeeze(0).numpy()
np.testing.assert_array_almost_equal(ps_res, pa_res, decimal=5)
if __name__ == '__main__':
unittest.main()