3.0.3

Removes librosa dependency

3.0.2

Minor update to fix bugs related to import errors.

v3.0.0

• Includes a PyTorch-based implementation of Spectral Gating, an algorithm for denoising audio signals.
• You can now create a noisereduce nn.Module object which allows it to be used either as a standalone module or as part of a larger neural network architecture.
• The run time of the algorithm decreases substantially.

v2.0.1

Fixes an issue with tqdm visibility being the opposite of the flag

v2.0.0

This release adds a number of new features

• Added two forms of spectral gating noise reduction: stationary noise reduction, and non-stationary noise reduction.
• Added multiprocessing so you can perform noise reduction on bigger data.
• The new version breaks the API of the old version.
• The previous version is still available at from noisereduce.noisereducev1 import reduce_noise
• You can now create a noisereduce object which allows you to reduce noise on subsets of longer recordings

v1.0.1

Minor bug fixes for tensorflow backend

v1.0

Major updates

• Added optional tensorflow backend for acceleration
• Added clipping option

spectral gating in python

This release contains the first version of the noisereduce algorithm