You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
58 lines
2.3 KiB
58 lines
2.3 KiB
# 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.
|
|
"""Contain the online bayesian normalization augmentation model."""
|
|
from deepspeech.frontend.augmentor.base import AugmentorBase
|
|
|
|
|
|
class OnlineBayesianNormalizationAugmentor(AugmentorBase):
|
|
"""Augmentation model for adding online bayesian normalization.
|
|
|
|
:param rng: Random generator object.
|
|
:type rng: random.Random
|
|
:param target_db: Target RMS value in decibels.
|
|
:type target_db: float
|
|
:param prior_db: Prior RMS estimate in decibels.
|
|
:type prior_db: float
|
|
:param prior_samples: Prior strength in number of samples.
|
|
:type prior_samples: int
|
|
:param startup_delay: Default 0.0s. If provided, this function will
|
|
accrue statistics for the first startup_delay
|
|
seconds before applying online normalization.
|
|
:type starup_delay: float.
|
|
"""
|
|
|
|
def __init__(self,
|
|
rng,
|
|
target_db,
|
|
prior_db,
|
|
prior_samples,
|
|
startup_delay=0.0):
|
|
self._target_db = target_db
|
|
self._prior_db = prior_db
|
|
self._prior_samples = prior_samples
|
|
self._rng = rng
|
|
self._startup_delay = startup_delay
|
|
|
|
def transform_audio(self, audio_segment):
|
|
"""Normalizes the input audio using the online Bayesian approach.
|
|
|
|
Note that this is an in-place transformation.
|
|
|
|
:param audio_segment: Audio segment to add effects to.
|
|
:type audio_segment: AudioSegment|SpeechSegment
|
|
"""
|
|
audio_segment.normalize_online_bayesian(self._target_db, self._prior_db,
|
|
self._prior_samples,
|
|
self._startup_delay)
|