unfa

The open-source audio production toolset is becoming more and more powerful and feature-complete with every year passing.

Something still missing from it are artist-friendly tools for reverb removal (both realtime and offline). Here's a list of existing open-source projects that could be used as basis for such tools:

https://github.com/HoerTech-gGmbH/openMHA https://github.com/fgnt/nara_wpe https://github.com/helianvine/fdndlp https://github.com/sas91/jhu-neural-wpe https://github.com/sjlee7/speech-dereverberation

lhk

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derricw

import numpy as np

def bin_ndarray(ndarray, new_shape, operation='sum'):
    """
    Bins an ndarray in all axes based on the target shape, by summing or
        averaging.

    Number of output dimensions must match number of input dimensions.

    Example

marktheunissen

This playbook has been removed as it is now very outdated.