pedalboard

We have hosted the application pedalboard in order to run this application in our online workstations with Wine or directly.

Quick description about pedalboard:

pedalboard is a Python library for working with audio: reading, writing, rendering, adding effects, and more. It supports the most popular audio file formats and a number of common audio effects out of the box and also allows the use of VST3� and Audio Unit formats for loading third-party software instruments and effects. pedalboard was built by Spotify�s Audio Intelligence Lab to enable using studio-quality audio effects from within Python and TensorFlow. Internally at Spotify, pedalboard is used for data augmentation to improve machine learning models and to help power features like Spotify�s AI DJ and AI Voice Translation. pedalboard also helps in the process of content creation, making it possible to add effects to audio without using a Digital Audio Workstation.

Features:

• Built-in audio I/O utilities (pedalboard.io)
• Support for reading and writing AIFF, FLAC, MP3, OGG, and WAV files on all platforms with no dependencies
• Additional support for reading AAC, AC3, WMA, and other formats depending on platform
• Support for on-the-fly resampling of audio files and streams with O(1) memory usage
• Built-in support for a number of basic audio transformations
• Guitar-style effects: Chorus, Distortion, Phaser, Clipping
• Supports instrument and effect Audio Units on macOS
• Strong thread-safety, memory usage, and speed guarantees
• Tested compatibility with TensorFlow - can be used in tf.data pipelines

Programming Language: C++, Python.
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