pygriffinlim

A python implementation of the Griffin Lim Algorithm for audio reconstruction from magnitudes

Overview

The Griffin Lim algorithm provides a way to approximate a waveform from a "modified STFT transform". In practice, this means a STFT where the phase data has been lost or removed. The Griffin Lim Algorithm does not produce the original waveform, but rather a new waveform with a very similar spectrogram.

Improvements on the Modified Fast Griffin Lim are still possible, as evidenced by recent work with WaveNet. However, in practice, the Modified Griffin Lim remains a robust, efficient and understandable algorithm, which makes it useful in many audio pipelines.

This is an implementation of 3 different versions of the Griffin Lim algorithm.

1. The basic Griffin Lim which converges slowly
2. The Fast Griffin Lim which converges more quickly
3. The Modified Fast Griffin Lim which converges to slightly better values.

CLI Instructions

After installing this package with pip, you can use the command pygl which has reasonable help.

Full disclosure

I have not read the Griffin Lim paper very closely, and I expect that my implementation is missing crucial aspects. But this is a practical repository, not an academic one. Please report any bugs as github issues.