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41 lines
1.2 KiB
41 lines
1.2 KiB
"""Contains the volume perturb augmentation model."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from data_utils.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 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.apply_gain(gain)
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