Metadata-Version: 2.1
Name: audiomentations
Version: 0.32.0
Summary: A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
Home-page: https://github.com/iver56/audiomentations
Author: Iver Jordal
License: MIT
Project-URL: Documentation, https://iver56.github.io/audiomentations/
Project-URL: Changelog, https://iver56.github.io/audiomentations/changelog/
Project-URL: Issue Tracker, https://github.com/iver56/audiomentations/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Multimedia
Classifier: Topic :: Multimedia :: Sound/Audio
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy (>=1.16.0)
Requires-Dist: librosa (!=0.10.0,<0.11.0,>=0.8.0)
Requires-Dist: scipy (<2,>=1.3.0)
Requires-Dist: soxr (<1.0.0,>=0.3.2)
Provides-Extra: extras
Requires-Dist: cylimiter (==0.3.0) ; extra == 'extras'
Requires-Dist: lameenc (<2,>=1.2.0) ; extra == 'extras'
Requires-Dist: pydub (<1,>=0.22.0) ; extra == 'extras'
Requires-Dist: pyloudnorm (>=0.1.0) ; extra == 'extras'
Requires-Dist: pyroomacoustics (>=0.6.0) ; extra == 'extras'

# Audiomentations

[![Build status](https://img.shields.io/circleci/project/github/iver56/audiomentations/main.svg)](https://circleci.com/gh/iver56/audiomentations)
[![Code coverage](https://img.shields.io/codecov/c/github/iver56/audiomentations/main.svg)](https://codecov.io/gh/iver56/audiomentations)
[![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black)
[![Licence: MIT](https://img.shields.io/pypi/l/audiomentations)](https://github.com/iver56/audiomentations/blob/main/LICENSE)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.8249475.svg)](https://doi.org/10.5281/zenodo.8249475)

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

![Python version support](https://img.shields.io/pypi/pyversions/audiomentations)
[![PyPI version](https://img.shields.io/pypi/v/audiomentations.svg?style=flat)](https://pypi.org/project/audiomentations/)
[![Number of downloads from PyPI per month](https://img.shields.io/pypi/dm/audiomentations.svg?style=flat)](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

The API documentation, along with guides, example code, illustrations and example sounds, is available at [https://iver56.github.io/audiomentations/](https://iver56.github.io/audiomentations/)

# Transforms

* [AddBackgroundNoise](https://iver56.github.io/audiomentations/waveform_transforms/add_background_noise/): Mixes in another sound to add background noise
* [AddGaussianNoise](https://iver56.github.io/audiomentations/waveform_transforms/add_gaussian_noise/): Adds gaussian noise to the audio samples
* [AddGaussianSNR](https://iver56.github.io/audiomentations/waveform_transforms/add_gaussian_snr/): Injects gaussian noise using a randomly chosen signal-to-noise ratio
* [AddShortNoises](https://iver56.github.io/audiomentations/waveform_transforms/add_short_noises/): Mixes in various short noise sounds
* [AdjustDuration](https://iver56.github.io/audiomentations/waveform_transforms/adjust_duration/): Trims or pads the audio to fit a target duration
* [AirAbsorption](https://iver56.github.io/audiomentations/waveform_transforms/air_absorption/): Applies frequency-dependent attenuation simulating air absorption
* [ApplyImpulseResponse](https://iver56.github.io/audiomentations/waveform_transforms/apply_impulse_response/): Convolves the audio with a randomly chosen impulse response
* [BandPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/band_pass_filter/): Applies band-pass filtering within randomized parameters
* [BandStopFilter](https://iver56.github.io/audiomentations/waveform_transforms/band_stop_filter/): Applies band-stop (notch) filtering within randomized parameters
* [Clip](https://iver56.github.io/audiomentations/waveform_transforms/clip/): Clips audio samples to specified minimum and maximum values
* [ClippingDistortion](https://iver56.github.io/audiomentations/waveform_transforms/clipping_distortion/): Distorts the signal by clipping a random percentage of samples
* [Gain](https://iver56.github.io/audiomentations/waveform_transforms/gain/): Multiplies the audio by a random gain factor
* [GainTransition](https://iver56.github.io/audiomentations/waveform_transforms/gain_transition/): Gradually changes the gain over a random time span
* [HighPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/high_pass_filter/): Applies high-pass filtering within randomized parameters
* [HighShelfFilter](https://iver56.github.io/audiomentations/waveform_transforms/high_shelf_filter/): Applies a high shelf filter with randomized parameters
* [Lambda](https://iver56.github.io/audiomentations/waveform_transforms/lambda/): Applies a user-defined transform
* [Limiter](https://iver56.github.io/audiomentations/waveform_transforms/limiter/): Applies dynamic range compression limiting the audio signal
* [LoudnessNormalization](https://iver56.github.io/audiomentations/waveform_transforms/loudness_normalization/): Applies gain to match a target loudness
* [LowPassFilter](https://iver56.github.io/audiomentations/waveform_transforms/low_pass_filter/): Applies low-pass filtering within randomized parameters
* [LowShelfFilter](https://iver56.github.io/audiomentations/waveform_transforms/low_shelf_filter/): Applies a low shelf filter with randomized parameters
* [Mp3Compression](https://iver56.github.io/audiomentations/waveform_transforms/mp3_compression/): Compresses the audio to lower the quality
* [Normalize](https://iver56.github.io/audiomentations/waveform_transforms/normalize/): Applies gain so that the highest signal level becomes 0 dBFS
* [Padding](https://iver56.github.io/audiomentations/waveform_transforms/padding/): Replaces a random part of the beginning or end with padding
* [PeakingFilter](https://iver56.github.io/audiomentations/waveform_transforms/peaking_filter/): Applies a peaking filter with randomized parameters
* [PitchShift](https://iver56.github.io/audiomentations/waveform_transforms/pitch_shift/): Shifts the pitch up or down without changing the tempo
* [PolarityInversion](https://iver56.github.io/audiomentations/waveform_transforms/polarity_inversion/): Flips the audio samples upside down, reversing their polarity
* [RepeatPart](https://iver56.github.io/audiomentations/waveform_transforms/repeat_part/): Repeats a subsection of the audio a number of times
* [Resample](https://iver56.github.io/audiomentations/waveform_transforms/resample/): Resamples the signal to a randomly chosen sampling rate
* [Reverse](https://iver56.github.io/audiomentations/waveform_transforms/reverse/): Reverses the audio along its time axis
* [RoomSimulator](https://iver56.github.io/audiomentations/waveform_transforms/room_simulator/): Simulates the effect of a room on an audio source
* [SevenBandParametricEQ](https://iver56.github.io/audiomentations/waveform_transforms/seven_band_parametric_eq/): Adjusts the volume of 7 frequency bands
* [Shift](https://iver56.github.io/audiomentations/waveform_transforms/shift/): Shifts the samples forwards or backwards
* [SpecChannelShuffle](https://iver56.github.io/audiomentations/spectrogram_transforms/): Shuffles channels in the spectrogram
* [SpecFrequencyMask](https://iver56.github.io/audiomentations/spectrogram_transforms/): Applies a frequency mask to the spectrogram
* [TanhDistortion](https://iver56.github.io/audiomentations/waveform_transforms/tanh_distortion/): Applies tanh distortion to distort the signal
* [TimeMask](https://iver56.github.io/audiomentations/waveform_transforms/time_mask/): Makes a random part of the audio silent
* [TimeStretch](https://iver56.github.io/audiomentations/waveform_transforms/time_stretch/): Changes the speed without changing the pitch
* [Trim](https://iver56.github.io/audiomentations/waveform_transforms/trim/): Trims leading and trailing silence from the audio

# Changelog

## [0.32.0] - 2023-08-15

### Added

* Add new `RepeatPart` transform

### Changed

* Bump min version of numpy dependency from 1.13 to 1.16
* If a transform is in "frozen parameters" mode, but has no parameters yet, the first transform call will randomize/set parameters
* Increase the threshold for raising `WrongMultichannelAudioShape`. This allows some rare use cases where the number of channels slightly exceeds the number of samples.

### Fixed

* Fix some type hints that were `np.array` instead of `np.ndarray`

For the full changelog, including older versions, 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.
