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Added tensorized/differentiable implementation section in readme #60

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7 changes: 6 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -82,7 +82,7 @@ meter8._filters = {'my_high_pass' : my_high_pass, 'my_high_shelf' : my_high_shel

```

## Dependancies
## Dependencies
- **SciPy** ([https://www.scipy.org/](https://www.scipy.org/))
- **NumPy** ([http://www.numpy.org/](http://www.numpy.org/))

Expand Down Expand Up @@ -114,3 +114,8 @@ If you use pyloudnorm in your work please consider citing us.
> Brecht De Man, "[Evaluation of Implementations of the EBU R128 Loudness Measurement](http://www.aes.org/e-lib/browse.cfm?elib=19790),"
> 145th International Convention of the Audio Engineering Society, October 2018.

## Tensorized/Differentiable Implementations

For use in differentiable contexts, such as part of a loss function, there are the following implementations:
- PyTorch: [Descript Inc.'s `audiotools`](https://github.com/descriptinc/audiotools/blob/master/audiotools/core/loudness.py)
- Jax: [jaxloudnorm](https://github.com/boris-kuz/jaxloudnorm)
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