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