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56 lines
1.9 KiB
56 lines
1.9 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 VolumePerturbAugmentor(AugmentorBase):
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"""Augmentation model for adding random volume perturbation.
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This is used for multi-loudness training of PCEN. See
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https://arxiv.org/pdf/1607.05666v1.pdf
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for more details.
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:param rng: Random generator object.
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:type rng: random.Random
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:param min_gain_dBFS: Minimal gain in dBFS.
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:type min_gain_dBFS: float
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:param max_gain_dBFS: Maximal gain in dBFS.
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:type max_gain_dBFS: float
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"""
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def __init__(self, rng, min_gain_dBFS, max_gain_dBFS):
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self._min_gain_dBFS = min_gain_dBFS
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self._max_gain_dBFS = max_gain_dBFS
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self._rng = rng
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def __call__(self, x, uttid=None, train=True):
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if not train:
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return x
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self.transform_audio(x)
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return x
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def transform_audio(self, audio_segment):
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"""Change audio loadness.
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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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gain = self._rng.uniform(self._min_gain_dBFS, self._max_gain_dBFS)
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audio_segment.gain_db(gain)
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