2022-07-13 –, Liffey B
Come hear about how to play with audio in only a couple lines of Python!
Python can do (nearly) anything, but using Python to work with audio has always been a complicated and messy affair. In this talk, we'll be going through how digital audio works, how Python can be used to play with audio data, and how a new library - Pedalboard - can help. Pedalboard is a simple, fast, and performant library for doing common audio tasks in Python, including applying effects, using VSTs and audio plugins, and encoding/decoding various audio formats.
Digital audio has been around for 40 years, but working with audio data can still be complicated, especially in Python. In this talk, we'll talk about how digital audio works from the ground up (from sounds, to bytes, to files), how you can use Python to do a bunch of really neat things with audio, and how a new Python library - Pedalboard - helps make working with audio much easier.
Ever used a digital audio workstation (DAW) like GarageBand, Ableton Live, Logic, or Pro Tools? Today's musicians use DAWs as instruments in themselves. But what if you want to combine the power of a DAW with the flexibility of writing your own code?
Pedalboard was built to fill this niche: to pull the power of a DAW into your Python code. Pedalboard makes it easy to build and apply audio effects, read and write audio files, and load audio plug-ins ("VSTs") without any complicated dependencies or frameworks. Just import pedalboard and go!
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Expected audience expertise: Python:some
Abstract as a tweet:Ever wanted to play with audio in Python? Come check out Pedalboard, a library that brings the power of a digital audio workstation into your Python code.
Peter is a Staff Machine Learning Engineer at Spotify in New York, where he helps lead their Audio Intelligence Lab - an ML research lab dedicated to pushing the state of the art in audio-based machine learning. He hails from Canada (and so spells colour the correct way) and when not hacking on audio software, he plays drums and bass in a handful of bands.