Our great sponsors
-
awesome-python-scientific-audio
Curated list of python software and packages related to scientific research in audio
Here is a great list awesome-python-scientific-audio. Many people dive into deep learning, while a lot of projects can be done with signal processing. I have used PyDub, Librosa, and PYO on a few non-deep learning projects, which are quite fun. Also, once you get your audio into python, play around with NumPy and create some of your own processes.
-
Have you checked out DDSP from magenta? I’m not sure what kind of learning you are trying to implement but they provide a lot of standard signal processing components that are differentiable so you can use them as part of a neural net. There are a handful of collabs that serve as interactive tutorials and the documentation is not bad, I did my bachelors thesis on the topic so I got quite stuck into this for a while
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
Perhaps Spotify Pedalboard might be of interest
