Noisereduce

Removes librosa dependency

Minor update to fix bugs related to import errors.

- 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.

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

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

Minor bug fixes for tensorflow backend

db94fe2
Major updates
- Added optional tensorflow backend for acceleration
- Added clipping option