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59 lines
2.0 KiB
59 lines
2.0 KiB
3 years ago
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# Copyright (c) 2021 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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# Modified from espnet(https://github.com/espnet/espnet)
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from nara_wpe.wpe import wpe
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class WPE(object):
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def __init__(self,
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taps=10,
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delay=3,
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iterations=3,
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psd_context=0,
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statistics_mode="full"):
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self.taps = taps
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self.delay = delay
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self.iterations = iterations
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self.psd_context = psd_context
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self.statistics_mode = statistics_mode
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def __repr__(self):
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return ("{name}(taps={taps}, delay={delay}"
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"iterations={iterations}, psd_context={psd_context}, "
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"statistics_mode={statistics_mode})".format(
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name=self.__class__.__name__,
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taps=self.taps,
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delay=self.delay,
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iterations=self.iterations,
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psd_context=self.psd_context,
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statistics_mode=self.statistics_mode, ))
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def __call__(self, xs):
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"""Return enhanced
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:param np.ndarray xs: (Time, Channel, Frequency)
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:return: enhanced_xs
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:rtype: np.ndarray
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"""
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# nara_wpe.wpe: (F, C, T)
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xs = wpe(
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xs.transpose((2, 1, 0)),
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taps=self.taps,
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delay=self.delay,
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iterations=self.iterations,
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psd_context=self.psd_context,
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statistics_mode=self.statistics_mode, )
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return xs.transpose(2, 1, 0)
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