Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

Project description

Audiomentations

Build status Code coverage

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

Setup

PyPI version Number of downloads from PyPI per month

pip install audiomentations

Usage example

from audiomentations import Compose, AddGaussianNoise, TimeStretch, PitchShift, Shift
import numpy as np

SAMPLE_RATE = 16000

augmenter = 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),
])

samples = np.zeros((20,), dtype=np.float32)
samples = augmenter(samples=samples, sample_rate=SAMPLE_RATE)

Development

Install the dependencies specified in requirements.txt

Code style

Format the code with black

Run tests and measure code coverage

pytest

Generate demo sounds for empirical evaluation

python -m demo.demo

Alternatives

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for audiomentations, version 0.7.0
Filename, size File type Python version Upload date Hashes
Filename, size audiomentations-0.7.0-py3-none-any.whl (7.2 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size audiomentations-0.7.0.tar.gz (4.8 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page