DeepFilterNet
rnnoise
| DeepFilterNet | rnnoise | |
|---|---|---|
| 10 | 16 | |
| 1,969 | 3,722 | |
| - | 4.7% | |
| 8.9 | 8.4 | |
| 9 days ago | 29 days ago | |
| Python | C | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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DeepFilterNet
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Anyone know of a good TTS pipeline for raw speech data?
You mean remove background noise and transcribe? Then you can use DeepFilterNet to remove noise, and Whisper to transcribe.
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Open Source Libraries
Rikorose/DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) using on Deep Filtering
- DeepFilterNet: Noise supression using deep filtering
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Linux Audio Noise suppression using deep filtering in Rust
It looks like the library in Rust is using `tract-onnx` to do the inference: https://github.com/Rikorose/DeepFilterNet/blob/2a84d2a1750a5... I am wondering whether using Python for research, training in big data center, and Rust at edge for efficient inference would be a trend in the future. We do have a larger community of C++ right now for inference (e.g. ggml). But Rust crate as component to build applications of AI is joy to use.
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Real-Time Noise Suppression for PipeWire writen in Rust
Repo: https://github.com/Rikorose/DeepFilterNet
rnnoise
- RNNoise 0.2 – now trained using only publicly available CC-licensed datasets
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Lyrebird the Linux voice changer now supports PipeWire
Sure.
Carla: https://github.com/falkTX/Carla
It lets me install any normal audio pro audio plugins, for example https://github.com/xiph/rnnoise
It also does some cable management, but qpwgraph is maybe better for that.
I looked at your code and the approach (IMO) is kind of bad.
If you want to solve the problem of "voice changer", you can skip the UI entirely and just use plugin parameters. You can also skip the problem of managing the connections. And when you publish your work, every pro audio software (Ableton, Reaper, whatever) can use your audio processing.
Hope that helps.
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Real-Time Noise Suppression for PipeWire writen in Rust
Interesting! How does it compare with NoiseTorch/RNNoise?
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GTX Voice auf vorhandene Audiodateien anwenden?
Das ist eine open source lib. Damit sollte das klappen. https://github.com/xiph/rnnoise/blob/master/examples/rnnoise_demo.c
- AI Audio Upscaling?
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What are some must-have Linux gaming utilities that you all know about? I just discovered mangohud and goverlay for getting live system resource stats in an overlay while I'm doing my Linux gaming, kind of like rivatuner on Windows... wish I discovered these sooner...
RNNoise (behaves similarly to RTX broadcast/voice/whatever the fuck they're calling it now, but with significantly better performance) - plugs into OBS or other programs flawlessly
- AMD leaks then removes announcement of AI noise-canceling function
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OBS – Open Broadcaster Software
OBS ships with rnnoise noise reduction, which is like NVIDIA Broadcast, but works on any CPU. See also NoiseTorch and EasyEffects if you're on Linux.
It's pretty great, works decently, but the sad thing is the author put it out a few years ago, wrote a paper and then moved onto something else and it's pretty much unmaintained and requires some very specific ML knowledge.
https://github.com/xiph/rnnoise
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Noise suppression on Ubuntu 22.04 running pipewire
I found this tool https://github.com/xiph/rnnoise and this guide that doesn't have ubuntu guide https://medium.com/@gamunu/linux-noise-cancellation-b9f997f6764d
- Recurrent neural network for audio noise reduction
What are some alternatives?
NoiseTorch - Real-time microphone noise suppression on Linux.
noise-suppression-for-voice - Noise suppression plugin based on Xiph's RNNoise
audio-webui - A webui for different audio related Neural Networks
noise-repellent - Lv2 suite of plugins for broadband noise reduction
Oat++ - 🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.
PiDTLN - Apply machine learning model DTLN for noise suppression and acoustic echo cancellation on Raspberry Pi
Joplin - Joplin - the secure note taking and to-do app with synchronisation capabilities for Windows, macOS, Linux, Android and iOS.
wenet - Production First and Production Ready End-to-End Speech Recognition Toolkit
slowbug - Slowbug is a VS Code extension for debugging your code in slow-mo!
ctl - My variant of the C Template Library