# 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. """Contains the volume perturb augmentation model.""" from deepspeech.frontend.augmentor.base import AugmentorBase class ShiftPerturbAugmentor(AugmentorBase): """Augmentation model for adding random shift perturbation. :param rng: Random generator object. :type rng: random.Random :param min_shift_ms: Minimal shift in milliseconds. :type min_shift_ms: float :param max_shift_ms: Maximal shift in milliseconds. :type max_shift_ms: float """ def __init__(self, rng, min_shift_ms, max_shift_ms): self._min_shift_ms = min_shift_ms self._max_shift_ms = max_shift_ms self._rng = rng def randomize_parameters(self): self.shift_ms = self._rng.uniform(self._min_shift_ms, self._max_shift_ms) def apply(self, audio_segment): audio_segment.shift(self.shift_ms) # def transform_audio(self, audio_segment, single): # """Shift audio. # Note that this is an in-place transformation. # :param audio_segment: Audio segment to add effects to. # :type audio_segment: AudioSegmenet|SpeechSegment # """ # if(single): # self.randomize_parameters() # self.apply(audio_segment) # def transform_audio(self, audio_segment): # """Shift audio. # Note that this is an in-place transformation. # :param audio_segment: Audio segment to add effects to. # :type audio_segment: AudioSegmenet|SpeechSegment # """ # shift_ms = self._rng.uniform(self._min_shift_ms, self._max_shift_ms) # audio_segment.shift(shift_ms)