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51 lines
1.4 KiB
51 lines
1.4 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 paddle
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import paddleaudio
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feat_conf = {
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'sr': 16000,
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'n_mfcc': 20,
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'n_fft': 512,
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'hop_length': 128,
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'n_mels': 40,
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'f_min': 0.0,
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'top_db': 80.0,
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}
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@profile
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def test_mfcc_cpu(input_shape, times):
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paddle.set_device('cpu')
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x = paddle.randn(input_shape)
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feature_extractor = paddleaudio.features.MFCC(**feat_conf, dtype=x.dtype)
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for i in range(times):
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y = feature_extractor(x)
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@profile
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def test_mfcc_gpu(input_shape, times):
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paddle.set_device('gpu')
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x = paddle.randn(input_shape)
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feature_extractor = paddleaudio.features.MFCC(**feat_conf, dtype=x.dtype)
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for i in range(times):
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y = feature_extractor(x)
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input_shape = (16, 48000) # (N, T)
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times = 100
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test_mfcc_cpu(input_shape, times)
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test_mfcc_gpu(input_shape, times)
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