Symphonia VS FFmpeg

Symphonia for an amazing audio library

Are you trying to play audio from something like an internet radio station where the stream has an infinite length? The content length header is optional. It uses that to support seeking within the file. Symphonia, one of the underlying backends for Rodio, has an option to tell the decoder that the source is not seekable if the size of the file is not known. Unfortunately, Rodio currently hardcodes this setting to true https://github.com/RustAudio/rodio/blob/master/src/decoder/read_seek_source.rs#L19. I actually wrote this code a few years ago so I should know this, but I can't remember why exactly. I think there was no easy way to communicate this information to Rodio since the other backends don't have a setting like this. The other Rodio backends may handle this differently. There's a lot of great info in this discussion on the Symphonia repo about this use case which helped me with my implementation: https://github.com/pdeljanov/Symphonia/discussions/153

Everything I can find on the internet seems to be abandoned. Opus-rs, Magnum, Magnum Opus, ect. Symphonia has been working on it for over 2 years, with work still ongoing. Heck, even FFMPEG seems to not have full support yet!. Is there any library that I have overlooked that provides this functionality?

In other areas, miniz_oxide is faster than miniz, Symphonia is faster than ffmpeg on most codecs, the not-yet-announced zune-png beats both libpng and the more heavily optimized libspng, and the png crate is getting considerable improvements too and also beats libpng.

Symphonia is an audio decoder framework in 100% safe Rust supporting the most popular media formats (MP4/M4A, OGG, MKV/WebM, WAV) and audio codecs (AAC-LC, ADPCM, ALAC, FLAC, MP1/2/3, Vorbis, PCM).

The Music Player is based on Rodio, which is a high-performance audio playback library for Rust, and Symphonia, which is a Rust library for working with music metadata and audio decoding. This allows the Music Player to provide high-quality audio playback and management.

You can look at symphonia for a pure Rust solution.

GPL2

Since FFmpeg is GPL2, doesn’t that require CompressX to disclose its source code?

IANAL, apologies if I miss understand license requirements.

https://github.com/FFmpeg/FFmpeg?tab=License-1-ov-file

This turns out to be a lot of assembly macros to help write one x86 assembly. https://github.com/FFmpeg/FFmpeg/blob/master/libavutil/x86/x...

The sibling comment recommending compiler intrinsics is probably the best way to go for writing SIMD code. A mixture of `` style types and intrinsics to specify instructions is a solid 90% solution compared to assembly.

If you want that last 10%, I think macros are putting the emphasis in the wrong place. They're a somewhat easy way to build up a language abstraction which will work if held carefully, but I'm confident the dev experience using this abstraction when you write invalid code will be deeply confusing.

I would suggest to write a parser instead of the macros. That'll tell you clearly when the syntax is invalid (though possibly not with much precision) and it'll give you a place to put semantic analysis for where valid syntax encodes nonsense. Do the equivalent of the macro expansions on the parsed tree instead of on the text. Emit asm as the "back end".

You might have heard of FFMPEG or ImageMagick for image and video edition in a programmatic way. MoviePy is a Python module for video editing (Python wrapper for FFMPEG and ImageMagick). It provides functions for cutting, concatenations, title insertions, video compositing, video processing, and the creation of custom effects. It can read and write common video and audio formats and be run on any platform with Python 2.7 or 3+.

There are many cloud-based tools and websites that can convert your images, but the problem with these tools is that you usually have to upload the files for them to be processed, and some of their services are not free. In this article, I'd like to introduce a piece of software called FFmpeg, which allows you convert the images locally with one simple command.

To run the demo locally, be sure to have Python 3.11 and FFmpeg installed.