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49 lines
1.6 KiB
49 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 os
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import unittest
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import urllib.request
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import numpy as np
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import paddle
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from paddleaudio.backends import soundfile_load as load
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wav_url = 'https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav'
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class FeatTest(unittest.TestCase):
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def setUp(self):
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self.initParmas()
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self.initWavInput()
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self.setUpDevice()
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def setUpDevice(self, device='cpu'):
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paddle.set_device(device)
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def initWavInput(self, url=wav_url):
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if not os.path.isfile(os.path.basename(url)):
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urllib.request.urlretrieve(url, os.path.basename(url))
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self.waveform, self.sr = load(os.path.abspath(os.path.basename(url)))
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self.waveform = self.waveform.astype(
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np.float32
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) # paddlespeech.s2t.transform.spectrogram only supports float32
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dim = len(self.waveform.shape)
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assert dim in [1, 2]
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if dim == 1:
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self.waveform = np.expand_dims(self.waveform, 0)
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def initParmas(self):
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raise NotImplementedError
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