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|
%global _empty_manifest_terminate_build 0
Name: python-audiomentations
Version: 0.30.0
Release: 1
Summary: A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
License: MIT
URL: https://github.com/iver56/audiomentations
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/d0/ae/3e48afd7d761836f24b9c4740666a0e371f9693cb0e2a833052345db1abb/audiomentations-0.30.0.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-librosa
Requires: python3-scipy
Requires: python3-cylimiter
Requires: python3-lameenc
Requires: python3-pydub
Requires: python3-pyloudnorm
Requires: python3-pyroomacoustics
%description
# Audiomentations
[](https://circleci.com/gh/iver56/audiomentations)
[](https://codecov.io/gh/iver56/audiomentations)
[](https://github.com/ambv/black)
[](https://github.com/iver56/audiomentations/blob/main/LICENSE)
[](https://doi.org/10.5281/zenodo.7885479)
A Python library for audio data augmentation. Inspired by
[albumentations](https://github.com/albu/albumentations). Useful for deep learning. Runs on
CPU. Supports mono audio and multichannel audio. Can be
integrated in training pipelines in e.g. Tensorflow/Keras or Pytorch. Has helped people get
world-class results in Kaggle competitions. Is used by companies making next-generation audio
products.
Need a Pytorch-specific alternative with GPU support? Check out [torch-audiomentations](https://github.com/asteroid-team/torch-audiomentations)!
# Setup
[](https://pypi.org/project/audiomentations/)
[](https://pypi.org/project/audiomentations/)
`pip install audiomentations`
# Usage example
```python
from audiomentations import Compose, AddGaussianNoise, TimeStretch, PitchShift, Shift
import numpy as np
augment = Compose([
AddGaussianNoise(min_amplitude=0.001, max_amplitude=0.015, p=0.5),
TimeStretch(min_rate=0.8, max_rate=1.25, p=0.5),
PitchShift(min_semitones=-4, max_semitones=4, p=0.5),
Shift(min_fraction=-0.5, max_fraction=0.5, p=0.5),
])
# Generate 2 seconds of dummy audio for the sake of example
samples = np.random.uniform(low=-0.2, high=0.2, size=(32000,)).astype(np.float32)
# Augment/transform/perturb the audio data
augmented_samples = augment(samples=samples, sample_rate=16000)
```
# Documentation
See [https://iver56.github.io/audiomentations/](https://iver56.github.io/audiomentations/)
# Transforms
* [AddBackgroundNoise](https://iver56.github.io/audiomentations/waveform_transforms/add_background_noise/)
* [AddGaussianNoise](https://iver56.github.io/audiomentations/waveform_transforms/add_gaussian_noise/)
* [AddGaussianSNR](https://iver56.github.io/audiomentations/waveform_transforms/add_gaussian_snr/)
* [AddShortNoises](https://iver56.github.io/audiomentations/waveform_transforms/add_short_noises/)
* [AirAbsorption](https://iver56.github.io/audiomentations/waveform_transforms/air_absorption/)
* [ApplyImpulseResponse](https://iver56.github.io/audiomentations/waveform_transforms/apply_impulse_response/)
* [BandPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/band_pass_filter/)
* [BandStopFilter](https://iver56.github.io/audiomentations/waveform_transforms/band_stop_filter/)
* [Clip](https://iver56.github.io/audiomentations/waveform_transforms/clip/)
* [ClippingDistortion](https://iver56.github.io/audiomentations/waveform_transforms/clipping_distortion/)
* [Gain](https://iver56.github.io/audiomentations/waveform_transforms/gain/)
* [GainTransition](https://iver56.github.io/audiomentations/waveform_transforms/gain_transition/)
* [HighPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/high_pass_filter/)
* [HighShelfFilter](https://iver56.github.io/audiomentations/waveform_transforms/high_shelf_filter/)
* [Lambda](https://iver56.github.io/audiomentations/waveform_transforms/lambda/)
* [Limiter](https://iver56.github.io/audiomentations/waveform_transforms/limiter/)
* [LoudnessNormalization](https://iver56.github.io/audiomentations/waveform_transforms/loudness_normalization/)
* [LowPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/low_pass_filter/)
* [LowShelfFilter](https://iver56.github.io/audiomentations/waveform_transforms/low_shelf_filter/)
* [Mp3Compression](https://iver56.github.io/audiomentations/waveform_transforms/mp3_compression/)
* [Normalize](https://iver56.github.io/audiomentations/waveform_transforms/normalize/)
* [Padding](https://iver56.github.io/audiomentations/waveform_transforms/padding/)
* [PeakingFilter](https://iver56.github.io/audiomentations/waveform_transforms/peaking_filter/)
* [PitchShift](https://iver56.github.io/audiomentations/waveform_transforms/pitch_shift/)
* [PolarityInversion](https://iver56.github.io/audiomentations/waveform_transforms/polarity_inversion/)
* [Resample](https://iver56.github.io/audiomentations/waveform_transforms/resample/)
* [Reverse](https://iver56.github.io/audiomentations/waveform_transforms/reverse/)
* [RoomSimulator](https://iver56.github.io/audiomentations/waveform_transforms/room_simulator/)
* [SevenBandParametricEQ](https://iver56.github.io/audiomentations/waveform_transforms/seven_band_parametric_eq/)
* [Shift](https://iver56.github.io/audiomentations/waveform_transforms/shift/)
* [SpecChannelShuffle](https://iver56.github.io/audiomentations/spectrogram_transforms/)
* [SpecFrequencyMask](https://iver56.github.io/audiomentations/spectrogram_transforms/)
* [TanhDistortion](https://iver56.github.io/audiomentations/waveform_transforms/tanh_distortion/)
* [TimeMask](https://iver56.github.io/audiomentations/waveform_transforms/time_mask/)
* [TimeStretch](https://iver56.github.io/audiomentations/waveform_transforms/time_stretch/)
* [Trim](https://iver56.github.io/audiomentations/waveform_transforms/trim/)
# Changelog
See [https://iver56.github.io/audiomentations/changelog/](https://iver56.github.io/audiomentations/changelog/)
# Acknowledgements
Thanks to [Nomono](https://nomono.co/) for backing audiomentations.
Thanks to [all contributors](https://github.com/iver56/audiomentations/graphs/contributors) who help improving audiomentations.
%package -n python3-audiomentations
Summary: A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
Provides: python-audiomentations
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-audiomentations
# Audiomentations
[](https://circleci.com/gh/iver56/audiomentations)
[](https://codecov.io/gh/iver56/audiomentations)
[](https://github.com/ambv/black)
[](https://github.com/iver56/audiomentations/blob/main/LICENSE)
[](https://doi.org/10.5281/zenodo.7885479)
A Python library for audio data augmentation. Inspired by
[albumentations](https://github.com/albu/albumentations). Useful for deep learning. Runs on
CPU. Supports mono audio and multichannel audio. Can be
integrated in training pipelines in e.g. Tensorflow/Keras or Pytorch. Has helped people get
world-class results in Kaggle competitions. Is used by companies making next-generation audio
products.
Need a Pytorch-specific alternative with GPU support? Check out [torch-audiomentations](https://github.com/asteroid-team/torch-audiomentations)!
# Setup
[](https://pypi.org/project/audiomentations/)
[](https://pypi.org/project/audiomentations/)
`pip install audiomentations`
# Usage example
```python
from audiomentations import Compose, AddGaussianNoise, TimeStretch, PitchShift, Shift
import numpy as np
augment = Compose([
AddGaussianNoise(min_amplitude=0.001, max_amplitude=0.015, p=0.5),
TimeStretch(min_rate=0.8, max_rate=1.25, p=0.5),
PitchShift(min_semitones=-4, max_semitones=4, p=0.5),
Shift(min_fraction=-0.5, max_fraction=0.5, p=0.5),
])
# Generate 2 seconds of dummy audio for the sake of example
samples = np.random.uniform(low=-0.2, high=0.2, size=(32000,)).astype(np.float32)
# Augment/transform/perturb the audio data
augmented_samples = augment(samples=samples, sample_rate=16000)
```
# Documentation
See [https://iver56.github.io/audiomentations/](https://iver56.github.io/audiomentations/)
# Transforms
* [AddBackgroundNoise](https://iver56.github.io/audiomentations/waveform_transforms/add_background_noise/)
* [AddGaussianNoise](https://iver56.github.io/audiomentations/waveform_transforms/add_gaussian_noise/)
* [AddGaussianSNR](https://iver56.github.io/audiomentations/waveform_transforms/add_gaussian_snr/)
* [AddShortNoises](https://iver56.github.io/audiomentations/waveform_transforms/add_short_noises/)
* [AirAbsorption](https://iver56.github.io/audiomentations/waveform_transforms/air_absorption/)
* [ApplyImpulseResponse](https://iver56.github.io/audiomentations/waveform_transforms/apply_impulse_response/)
* [BandPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/band_pass_filter/)
* [BandStopFilter](https://iver56.github.io/audiomentations/waveform_transforms/band_stop_filter/)
* [Clip](https://iver56.github.io/audiomentations/waveform_transforms/clip/)
* [ClippingDistortion](https://iver56.github.io/audiomentations/waveform_transforms/clipping_distortion/)
* [Gain](https://iver56.github.io/audiomentations/waveform_transforms/gain/)
* [GainTransition](https://iver56.github.io/audiomentations/waveform_transforms/gain_transition/)
* [HighPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/high_pass_filter/)
* [HighShelfFilter](https://iver56.github.io/audiomentations/waveform_transforms/high_shelf_filter/)
* [Lambda](https://iver56.github.io/audiomentations/waveform_transforms/lambda/)
* [Limiter](https://iver56.github.io/audiomentations/waveform_transforms/limiter/)
* [LoudnessNormalization](https://iver56.github.io/audiomentations/waveform_transforms/loudness_normalization/)
* [LowPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/low_pass_filter/)
* [LowShelfFilter](https://iver56.github.io/audiomentations/waveform_transforms/low_shelf_filter/)
* [Mp3Compression](https://iver56.github.io/audiomentations/waveform_transforms/mp3_compression/)
* [Normalize](https://iver56.github.io/audiomentations/waveform_transforms/normalize/)
* [Padding](https://iver56.github.io/audiomentations/waveform_transforms/padding/)
* [PeakingFilter](https://iver56.github.io/audiomentations/waveform_transforms/peaking_filter/)
* [PitchShift](https://iver56.github.io/audiomentations/waveform_transforms/pitch_shift/)
* [PolarityInversion](https://iver56.github.io/audiomentations/waveform_transforms/polarity_inversion/)
* [Resample](https://iver56.github.io/audiomentations/waveform_transforms/resample/)
* [Reverse](https://iver56.github.io/audiomentations/waveform_transforms/reverse/)
* [RoomSimulator](https://iver56.github.io/audiomentations/waveform_transforms/room_simulator/)
* [SevenBandParametricEQ](https://iver56.github.io/audiomentations/waveform_transforms/seven_band_parametric_eq/)
* [Shift](https://iver56.github.io/audiomentations/waveform_transforms/shift/)
* [SpecChannelShuffle](https://iver56.github.io/audiomentations/spectrogram_transforms/)
* [SpecFrequencyMask](https://iver56.github.io/audiomentations/spectrogram_transforms/)
* [TanhDistortion](https://iver56.github.io/audiomentations/waveform_transforms/tanh_distortion/)
* [TimeMask](https://iver56.github.io/audiomentations/waveform_transforms/time_mask/)
* [TimeStretch](https://iver56.github.io/audiomentations/waveform_transforms/time_stretch/)
* [Trim](https://iver56.github.io/audiomentations/waveform_transforms/trim/)
# Changelog
See [https://iver56.github.io/audiomentations/changelog/](https://iver56.github.io/audiomentations/changelog/)
# Acknowledgements
Thanks to [Nomono](https://nomono.co/) for backing audiomentations.
Thanks to [all contributors](https://github.com/iver56/audiomentations/graphs/contributors) who help improving audiomentations.
%package help
Summary: Development documents and examples for audiomentations
Provides: python3-audiomentations-doc
%description help
# Audiomentations
[](https://circleci.com/gh/iver56/audiomentations)
[](https://codecov.io/gh/iver56/audiomentations)
[](https://github.com/ambv/black)
[](https://github.com/iver56/audiomentations/blob/main/LICENSE)
[](https://doi.org/10.5281/zenodo.7885479)
A Python library for audio data augmentation. Inspired by
[albumentations](https://github.com/albu/albumentations). Useful for deep learning. Runs on
CPU. Supports mono audio and multichannel audio. Can be
integrated in training pipelines in e.g. Tensorflow/Keras or Pytorch. Has helped people get
world-class results in Kaggle competitions. Is used by companies making next-generation audio
products.
Need a Pytorch-specific alternative with GPU support? Check out [torch-audiomentations](https://github.com/asteroid-team/torch-audiomentations)!
# Setup
[](https://pypi.org/project/audiomentations/)
[](https://pypi.org/project/audiomentations/)
`pip install audiomentations`
# Usage example
```python
from audiomentations import Compose, AddGaussianNoise, TimeStretch, PitchShift, Shift
import numpy as np
augment = Compose([
AddGaussianNoise(min_amplitude=0.001, max_amplitude=0.015, p=0.5),
TimeStretch(min_rate=0.8, max_rate=1.25, p=0.5),
PitchShift(min_semitones=-4, max_semitones=4, p=0.5),
Shift(min_fraction=-0.5, max_fraction=0.5, p=0.5),
])
# Generate 2 seconds of dummy audio for the sake of example
samples = np.random.uniform(low=-0.2, high=0.2, size=(32000,)).astype(np.float32)
# Augment/transform/perturb the audio data
augmented_samples = augment(samples=samples, sample_rate=16000)
```
# Documentation
See [https://iver56.github.io/audiomentations/](https://iver56.github.io/audiomentations/)
# Transforms
* [AddBackgroundNoise](https://iver56.github.io/audiomentations/waveform_transforms/add_background_noise/)
* [AddGaussianNoise](https://iver56.github.io/audiomentations/waveform_transforms/add_gaussian_noise/)
* [AddGaussianSNR](https://iver56.github.io/audiomentations/waveform_transforms/add_gaussian_snr/)
* [AddShortNoises](https://iver56.github.io/audiomentations/waveform_transforms/add_short_noises/)
* [AirAbsorption](https://iver56.github.io/audiomentations/waveform_transforms/air_absorption/)
* [ApplyImpulseResponse](https://iver56.github.io/audiomentations/waveform_transforms/apply_impulse_response/)
* [BandPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/band_pass_filter/)
* [BandStopFilter](https://iver56.github.io/audiomentations/waveform_transforms/band_stop_filter/)
* [Clip](https://iver56.github.io/audiomentations/waveform_transforms/clip/)
* [ClippingDistortion](https://iver56.github.io/audiomentations/waveform_transforms/clipping_distortion/)
* [Gain](https://iver56.github.io/audiomentations/waveform_transforms/gain/)
* [GainTransition](https://iver56.github.io/audiomentations/waveform_transforms/gain_transition/)
* [HighPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/high_pass_filter/)
* [HighShelfFilter](https://iver56.github.io/audiomentations/waveform_transforms/high_shelf_filter/)
* [Lambda](https://iver56.github.io/audiomentations/waveform_transforms/lambda/)
* [Limiter](https://iver56.github.io/audiomentations/waveform_transforms/limiter/)
* [LoudnessNormalization](https://iver56.github.io/audiomentations/waveform_transforms/loudness_normalization/)
* [LowPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/low_pass_filter/)
* [LowShelfFilter](https://iver56.github.io/audiomentations/waveform_transforms/low_shelf_filter/)
* [Mp3Compression](https://iver56.github.io/audiomentations/waveform_transforms/mp3_compression/)
* [Normalize](https://iver56.github.io/audiomentations/waveform_transforms/normalize/)
* [Padding](https://iver56.github.io/audiomentations/waveform_transforms/padding/)
* [PeakingFilter](https://iver56.github.io/audiomentations/waveform_transforms/peaking_filter/)
* [PitchShift](https://iver56.github.io/audiomentations/waveform_transforms/pitch_shift/)
* [PolarityInversion](https://iver56.github.io/audiomentations/waveform_transforms/polarity_inversion/)
* [Resample](https://iver56.github.io/audiomentations/waveform_transforms/resample/)
* [Reverse](https://iver56.github.io/audiomentations/waveform_transforms/reverse/)
* [RoomSimulator](https://iver56.github.io/audiomentations/waveform_transforms/room_simulator/)
* [SevenBandParametricEQ](https://iver56.github.io/audiomentations/waveform_transforms/seven_band_parametric_eq/)
* [Shift](https://iver56.github.io/audiomentations/waveform_transforms/shift/)
* [SpecChannelShuffle](https://iver56.github.io/audiomentations/spectrogram_transforms/)
* [SpecFrequencyMask](https://iver56.github.io/audiomentations/spectrogram_transforms/)
* [TanhDistortion](https://iver56.github.io/audiomentations/waveform_transforms/tanh_distortion/)
* [TimeMask](https://iver56.github.io/audiomentations/waveform_transforms/time_mask/)
* [TimeStretch](https://iver56.github.io/audiomentations/waveform_transforms/time_stretch/)
* [Trim](https://iver56.github.io/audiomentations/waveform_transforms/trim/)
# Changelog
See [https://iver56.github.io/audiomentations/changelog/](https://iver56.github.io/audiomentations/changelog/)
# Acknowledgements
Thanks to [Nomono](https://nomono.co/) for backing audiomentations.
Thanks to [all contributors](https://github.com/iver56/audiomentations/graphs/contributors) who help improving audiomentations.
%prep
%autosetup -n audiomentations-0.30.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-audiomentations -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.30.0-1
- Package Spec generated
|
