relevant packages & solutions worth knowing about

[mdingemanse]

This is probably useful for latest trends and methods in handling common bioacoustics tasks and datasets: https://github.com/vocalpy/crowsetta

May also provide some generally useful methods or formats we can build on.

Also, the pyOpensci route is a useful one to know about when it comes to maximising usability and findability: pyOpenSci/software-submission#68

[mdingemanse]

Dumping some more relevant material: https://github.com/Tahiya31/cogsci-interaction-workshop

[mdingemanse]

Broadening this issue to make it a general dumping ground for stuff useful to be aware of.

[mdingemanse]

Here's an old precedent: a toolkit for the interactive online display of time-aligned audio video data. Quite well worked out for the time! Flash-based, so this died along with flash fairly soon after it was released...

Campbell, Nick, and Akiko Tabata. 2010. ‘A Software Toolkit for Viewing Annotated Multimodal Data Interactively over the Web’. In Proceedings of LREC 2010.
http://www.lrec-conf.org/proceedings/lrec2010/pdf/96_Paper.pdf

[liesenf]

Also this:

https://fluiddyn.readthedocs.io/en/latest/

FluidDyn documentation

FluidDyn logo

The FluidDyn project aims at promoting the use of open-source Python software in research in fluid dynamics. The project provides some Python packages specialized for different tasks, in particular

transonic, to make your Python code fly at transonic speeds!

fluidfft for 2D and 3D Fast Fourier Transforms,

fluidsim for numerical simulations,

fluidlab for laboratory experiments,

fluidimage for processing of images of fluid,

fluidsht for Spherical Harmonic Transforms.

This documentation presents the FluidDyn project and the package of the same name, which is the base package on which the other packages depend on. For the specific documentations of these specialized packages, follow the links above.

[liesenf]

Also this:
https://speechbrain.github.io/index.html

Not because its anything interaction focussed
but because of the similarity in spirit, community tools, very open..

Also later on might look into using speech brain to interface with neural ASR methods:

https://speechbrain.github.io/tutorial_nn.html