pydub VS mutagen

Honestly while, C++ is used for professional audio software, you can get a lot done with python and a library like pydub, or you can even learn to manipulate audio files without any libraries in any language. So if you are not particulary interested in C++ at the moment you can start with Python, which is easier to learn. You can check out other python audio manipulation libraries here

I doubt it will matter if you're breaking up mid sentence if you pass in the previous as a prompt and split words. This is how Whisper does it internally.

It's not absolutely perfect, but splitting on the word boundary is one line of code with the same package in their docs: https://github.com/jiaaro/pydub/blob/master/API.markdown#sil...

25MB is also a lot. That's 30 minutes to an hour on MP3 at reasonable compression. A 2 hour movie would have three splits.

Even given an option it can be difficult to find the corresponding documentation, if only because of the many different submodules and encoders and decoders and filters that have o-so-slightly different options. That said, I've just switched from pydub to ffmpeg-python (due to memory issues of the former[1]) and judging from the Jupiter notebook[2] it seems a much more intuitive method of constructing ffmpeg pipelines.

[1] https://github.com/jiaaro/pydub/issues/135

[2] https://github.com/kkroening/ffmpeg-python/tree/master/examp...

With the file downloaded, we're now going to arbitrarily slice it locally (you might have considered wheter it is possible to simply download a clip from youtube; all reliable methods I've found will essentially boil down to downloading the whole and then editing locally). For that we'll use the pydub library:

I guess it's possible in theory, a quick search suggest pydub library.​But you may find something better if you do a little research.

Uses https://github.com/cheofusi/just_playback to play sound. It's actually surprising how hard it was to find a cross-platform Python module to play sound that doesn't require an external dependency like ffmpeg. Even then, modules like https://github.com/jiaaro/pydub don't support features like seeking/scrubbing, which was a must-have for my project.

Once python is installed, you will also need to install the "pydub" package for this script to work. If you're on a Windows computer, you can do this from the command line (run the "cmd") program. If you're on mac, you can do this from the terminal. Basically, the way that you do this is using "pip" -- a "helper" program that comes with python. Once you launch the command line, just run the command python -m pip install pydub --upgrade and you should see a message showing that it successfully installed. If you're struggling with this step, just google how to "pip install python packages" and you can find a lot of beginner guides.

That is kinda what serverless functions are built for. Looks like python has some good libraries for this: https://github.com/jiaaro/pydub.

The files are big, so it's not feasible to load one in all at once. They have to be streamed/chunked somehow. (sadly, pydub doesn't support this...)

Hey HN, I wanted to share a Docker Desktop extension that uses Mutagen (the open-source[0] file sync tool for developers) to improve bind mount performance in Docker Desktop. It allows you to create synchronized filesystem caches inside the Docker Desktop VM that can automatically replace bind mounts. This gives you ext4 filesystem performance inside the Docker Desktop VM, with low-latency synchronization to-and-from the host filesystem.

Docker themselves actually shipped this functionality in Docker Desktop back in 2020, but they decided to pivot back to virtual filesystems with gRPC FUSE and Virtiofs. While these work fairly well, there are still substantial gains to be had for workflows that are readdir(), stat(), read(), and write()-heavy. This includes things like package installs (e.g. npm and Composer), dynamic language runtimes (e.g. PHP or Node.js), and compiling code.

This new implementation is significantly more performant[1], offers a more detailed UI, and gives you the option of setting the user and group IDs for files sync'd into the VM. You can even create multiple caches of the same files with different UIDs/GIDs, allowing containers with different UIDs/GIDs to access the same files without permissions conflicts.

This extension is closed-source and requires a subscription for some functionality, but that money helps to support the corresponding open-source project.

I'd be keen to hear your feedback. There are a few minor limitations (mostly SDK limitations), but nothing too significant. The next step is probably going to be adding support for remote Docker engines, but I'd be interested to know if there are other pressing features that people would like to see.

Disclaimer: I am a Docker Captain, though this tool is not developed, sponsored, or endorsed by Docker, Inc.

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[0]: https://github.com/mutagen-io/mutagen

[1]: The Docker Desktop EULA prevents me from publishing benchmarks, but the performance difference will be the same as the difference between gRPC FUSE or Virtiofs and a "native" ext4 volume inside the VM. This will differ between hardware and virtualization frameworks. The best option is testing your own workflow.

I can't predict ultra far into the future (who can these days... :|), but Mutagen has been under active development for about 6 years now[0]. At the moment I have enough funding to work on it full-time until at least the middle of next year, though I also do Mutagen-related contracting and consulting work to support the project. Mutagen's Docker Desktop extension is going to be a freemium product designed to support the project more directly, which will hopefully allow development to continue indefinitely.

[0]: https://github.com/mutagen-io/mutagen/graphs/contributors

It's pretty bad. The Docker for Mac team tested something called Mutagen to speed things up, but then removed it again, and the difference was drastic.