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jneem
nnnoiseless
Rust2022–2023
jneem / nnnoiseless

nnnoiseless

Recurrent neural network for audio noise reduction

AI & Machine LearningSystems & InfrastructureCreative & MediaNetworking
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
372GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Recurrent neural network for audio noise reduction

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month2 dated mentions

Observed mentions: 2022-03-10 17:24:12 UTC to 2023-03-14 15:41:30 UTC.

012022-03-01 00:00:00 UTC to 2022-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 20222022-04-01 00:00:00 UTC to 2022-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-05-01 00:00:00 UTC to 2022-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-01 00:00:00 UTC to 2022-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 20222022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-01 00:00:00 UTC to 2022-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 2023

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Mar 20222022-03-01 00:00:00 UTC2022-04-01 00:00:00 UTC101
Apr 20222022-04-01 00:00:00 UTC2022-05-01 00:00:00 UTC000
May 20222022-05-01 00:00:00 UTC2022-06-01 00:00:00 UTC000
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC000
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC000
Aug 20222022-08-01 00:00:00 UTC2022-09-01 00:00:00 UTC000
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC000
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC000
Nov 20222022-11-01 00:00:00 UTC2022-12-01 00:00:00 UTC000
Dec 20222022-12-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
Jan 20232023-01-01 00:00:00 UTC2023-02-01 00:00:00 UTC000
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC000
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC101

What Hacker News says

2 sources
sonoprob·Mar 14, 2023
I try and learn Rust by glueing all things together (MIDI, Open Sound Control, Audio I/O) into little commandline utilities (e.g. routers), it's mostly to keep myself happy; quick results keep me pushing. Whether it's a good idea to start with a plugin depends on your experience (e.g. writing such things in C or C++). Active noise cancellation would be too involved for a first attempt (at least for me). Here's an unfinished project: https://github.com/materoy/noice For regular denoising there's these (haven't tried them): https://github.com/jneem/nnnoiseless https://github.com/bennetthardwick/rust-obs-plugins/blob/mas.... Here's an aggregate for sound related things: https://rust.audio/ Overviews/libraries: https://github.com/kfrncs/awesome-rust-audio https://crates.io/keywords/audio • Some videos: - Rust for audio developers: https://w
Read the rest
ww.youtube.com/watch?v=Yom9E-67bdI - The nannou framework: https://www.youtube.com/watch?v=JPFv3adyLB4 • Here's a real good article by Ross Bencina that goes into the intricacies of realtime audio, don't allocate/free in the hot parts of your code ! http://www.rossbencina.com/code/real-time-audio-programming-... Other things to check out: fundsp - a compact library with DSL for typical dsp things https://github.com/SamiPerttu/fundsp nih-plug - a plugin framework https://github.com/robbert-vdh/nih-plug/ Nannou a creative coding library that glues the needed parts together in a very clean way, will get you results quickly; the more difficult parts are already implemented, and it's a good place to learn. I started trying to understand and use obvious libraries like `cpal` for cross-platform audio I/O, `midir` for midi I/O, and `rosc` for OSC. Finally, I found `Programming Rust`, by Blandy and Orendorff a real nice condensed read. TRPL by Klabnik and Nicols is very readable as well, but I prefer Blandy/Orendorf. All in all, plenty of information, just a bit scattered over github / youtube and other places. Any way, my advice would be to take things step by step, learn from examples, and you could do worse than embrace chatgpt for rs pair programming as well (at least to get started) :)
In Ask HN: Sound-related project suggestions for learning Rust?
Arathorn·Mar 10, 2022
1. So the SFUs we're currently looking at are yours, ion-sfu (and/or galene) and mediasoup. Honestly we haven't finished looking at how they compare for rate control, but the Pion team seems very interested in ensuring they have good rate control. 2. From context I think you're talking about noise cancellation here? I assumed that some of the more exotic ML-based ones ran serverside, which obviously is incompatible with E2EE. It sounds like there are a bunch of options for running WASM-based intelligent noise cancellation clientside though, especially with MediaStreamTrackProcessor and friends. rnnoiseless as a pure Rust->WASM port of rnnoise looks fun, for instance: https://github.com/jneem/nnnoiseless 3. True, although given Google are highly motivated to make AEC work properly in WebRTC, I guess I'm hoping that they'll continue imp
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roving it, much as they have been. I certainly never want to have to write or integrate one ever again :D
In Native Matrix VoIP with Element Call

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