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60 lines
2.2 KiB
60 lines
2.2 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 abstract base class for augmentation models."""
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from abc import ABCMeta
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from abc import abstractmethod
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class AugmentorBase():
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"""Abstract base class for augmentation model (augmentor) class.
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All augmentor classes should inherit from this class, and implement the
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following abstract methods.
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"""
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__metaclass__ = ABCMeta
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@abstractmethod
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def __init__(self):
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pass
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@abstractmethod
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def __call__(self, xs):
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raise NotImplementedError("AugmentorBase: Not impl __call__")
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@abstractmethod
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def transform_audio(self, audio_segment):
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"""Adds various effects to the input audio segment. Such effects
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will augment the training data to make the model invariant to certain
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types of perturbations in the real world, improving model's
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generalization ability.
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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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raise NotImplementedError("AugmentorBase: Not impl transform_audio")
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@abstractmethod
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def transform_feature(self, spec_segment):
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"""Adds various effects to the input audo feature segment. Such effects
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will augment the training data to make the model invariant to certain
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types of time_mask or freq_mask in the real world, improving model's
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generalization ability.
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Args:
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spec_segment (Spectrogram): Spectrogram segment to add effects to.
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"""
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raise NotImplementedError("AugmentorBase: Not impl transform_feature")
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