Show HN: Alsa_rnnoise – RNNoise-based noise removal plugin for ALSA
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Re: Show HN: Alsa_rnnoise – RNNoise-based noise removal plugin for ALSA
#2 Ever since I got a new microphone I've been having issues with large quantities of background noise, primarily typing sounds, leaking in through my microphone. A friend of mine had told me about rnnoise, describing it as "very good" at removing noise, so I decided to test it. My initial testing started by me piping raw PCM from arecord through rnnoises denoiser demo into aplay. The results frankly shocked me. When not speaking, there was no noise (or sound) at all (this is due to rnnoises voice detection system, which essentially mutes the microphone when there's no voice), and when I was talking, the sound of my keyboard was a lot quieter without it affecting my voice, this lead me to decide to develop alsa_rnnoise to have good real time noise cancellation.
alsa_rnnoise is a very simple ALSA filter plugin that runs its input through rnnoise before outputting it back to ALSA. It operates in real time, adds very little latency (the amount depends on what size frames ALSA delivers, but is nominally less than 10ms). After enabling it, any annoying background sounds were gone. My intended use cases for this were VoIP, screencasting and streaming, and, as far as I can tell, it works great for all three.
Re: Show HN: Alsa_rnnoise – RNNoise-based noise removal plugin for ALSA
#3I noticed that RNNoise doesn't appear to be an open model, you can't re-train it from scratch from the source data, which isn't publicly documented (or doesn't exist?), even if you had enough hardware.
Re: Show HN: Alsa_rnnoise – RNNoise-based noise removal plugin for ALSA
#4I noticed that RNNoise doesn't appear to be an open model, you can't re-train it from scratch from the source data, which isn't publicly documented (or doesn't exist?), even if you had enough hardware.
The documentation is a bit poor. The original data is available for download (with more info about the entire process, most of which is outside of my grasp as I am not an ML person) in the demo blog post: https://jmvalin.ca/demo/rnnoise/ (towards the bottom of the page)
Re: Show HN: Alsa_rnnoise – RNNoise-based noise removal plugin for ALSA
#5Ever since I got a new microphone I've been having issues with large quantities of background noise, primarily typing sounds, leaking in through my microphone. A friend of mine had told me about rnnoise, describing it as "very good" at removing noise, so I decided to test it. My initial testing started by me piping raw PCM from arecord through rnnoises denoiser demo into aplay. The results frankly shocked me. When no…
A few weeks ago, I tried doing this with the LADSPA version of RNNoise and ALSA, but couldn't get it to work reliably.
I have also experimented with NoiseTorch which routes the microphone through LADSPA using Pulseaudio but it didn't work reliably either. The biggest problem with this is that Pulseaudio will load one CPU thread 100% even when no audio input. This makes it a deal breaker for laptops.
I will definitely check this out. RNNoise is truly amazing tech, but it is not as accessible as I would like. The best use if it is in the Mumble client where it is an optional setting.
It is a shame Nvidia has taken over this space completely with RTX voice. RNNoise does a comparable job without the need for an Nvidia GPU. But I guess it is because RNNoise is just not as easy to setup.
Re: Show HN: Alsa_rnnoise – RNNoise-based noise removal plugin for ALSA
#6Ever since I got a new microphone I've been having issues with large quantities of background noise, primarily typing sounds, leaking in through my microphone. A friend of mine had told me about rnnoise, describing it as "very good" at removing noise, so I decided to test it. My initial testing started by me piping raw PCM from arecord through rnnoises denoiser demo into aplay. The results frankly shocked me. When no…
Hey, thanks for building this! There are multiple options like this for Pulseaudio, but last I researched it nothing for pure ALSA. On a system without Pulseaudio this is obviously better, great to have.
The pulseaudio plugins like noisetorch have the issue of significant system load even without current sound input (something about how the loopback works iirc), will this alsa plugin share that issue or will the system load be lower when currently there is no sound input?
Re: Show HN: Alsa_rnnoise – RNNoise-based noise removal plugin for ALSA
#7For PulseAudio, there is https://github.com/lawl/NoiseTorch
Re: Show HN: Alsa_rnnoise – RNNoise-based noise removal plugin for ALSA
#8I noticed that RNNoise doesn't appear to be an open model, you can't re-train it from scratch from the source data, which isn't publicly documented (or doesn't exist?), even if you had enough hardware.
The documentation is a bit poor. The original data is available for download (with more info about the entire process, most of which is outside of my grasp as I am not an ML person) in the demo blog post: https://jmvalin.ca/demo/rnnoise/ (towards the bottom of the page)
Any idea about the license for the original data?
Re: Show HN: Alsa_rnnoise – RNNoise-based noise removal plugin for ALSA
#9I noticed that RNNoise doesn't appear to be an open model, you can't re-train it from scratch from the source data, which isn't publicly documented (or doesn't exist?), even if you had enough hardware.
The documentation is a bit poor. The original data is available for download (with more info about the entire process, most of which is outside of my grasp as I am not an ML person) in the demo blog post: https://jmvalin.ca/demo/rnnoise/ (towards the bottom of the page)
Also any idea if the training required nvidia GPUs or was it done on CPUs or GPUs with non-proprietary drivers?
Re: Show HN: Alsa_rnnoise – RNNoise-based noise removal plugin for ALSA
#10looks promising.
but I've always wondered how Krisp.ai achieves such good results, considering that it works on the local device, plus the size is quite small (a few hundred MB). it really impresses me. disclaimer: I'm not affiliated in any way with Krisp.ai, just a happy user.