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PaddleSpeech/paddlespeech/s2t/transform/wpe.py

59 lines
2.0 KiB

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