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49 lines
1.8 KiB
49 lines
1.8 KiB
"""Contain the online bayesian normalization 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 OnlineBayesianNormalizationAugmentor(AugmentorBase):
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"""Augmentation model for adding online bayesian normalization.
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:param rng: Random generator object.
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:type rng: random.Random
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:param target_db: Target RMS value in decibels.
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:type target_db: float
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:param prior_db: Prior RMS estimate in decibels.
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:type prior_db: float
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:param prior_samples: Prior strength in number of samples.
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:type prior_samples: int
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:param startup_delay: Default 0.0s. If provided, this function will
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accrue statistics for the first startup_delay
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seconds before applying online normalization.
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:type starup_delay: float.
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"""
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def __init__(self,
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rng,
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target_db,
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prior_db,
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prior_samples,
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startup_delay=0.0):
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self._target_db = target_db
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self._prior_db = prior_db
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self._prior_samples = prior_samples
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self._rng = rng
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self._startup_delay = startup_delay
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def transform_audio(self, audio_segment):
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"""Normalizes the input audio using the online Bayesian approach.
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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: AudioSegment|SpeechSegment
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"""
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audio_segment.normalize_online_bayesian(self._target_db, self._prior_db,
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self._prior_samples,
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self._startup_delay)
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