Comment by cannam

Oh this is very nice, I hadn't seen it before. A few random thoughts:

- The Vamp Plugin Pack for Mac finally got an ARM/Intel universal build in its 2.0 release last year, so hopefully the caveat mentioned about the M1 Mac should no longer apply

- Most of the Vamp plugins in the Pack pre-date the pervasive use of deep learning in academia, and use classic AI or machine-learning methods with custom feature design and filtering/clustering/state models etc. (The associated papers can be an interesting read, because the methods are so explicitly tailored to the domain)

- Audacity as host only supports plugins that emit time labels as output - this obviously includes beats and chords, but there are other forms of analysis plugins can do if the host (e.g. Sonic Visualiser) supports them

- Besides the simple host in the Vamp SDK, there is another command-line Vamp host called Sonic Annotator (https://vamp-plugins.org/sonic-annotator/) which is even harder to use, equally poorly documented, and even more poorly maintained, but capable of some quite powerful batch analysis and supporting a wider range of audio file formats. Worth checking out if you're curious

(I'm the main author of the Vamp SDK and wrote bits of some of the plugins, so if you have other questions I may be able to help)