voicefixer
DeepFilterNet
voicefixer | DeepFilterNet | |
---|---|---|
2 | 10 | |
923 | 1,982 | |
- | - | |
5.4 | 8.9 | |
about 2 months ago | about 2 hours ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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voicefixer
- Linux Audio Noise suppression using deep filtering in Rust
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Which artificial intelligence tools are you using to help with your workflow?
Sometimes nothing works, I use this program which can work like a magic. https://github.com/haoheliu/voicefixer If there are any alternatives to spectral recovery like this program, I would love to hear them. The rx recovery sounds very over done most of the times
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
What are some alternatives?
Neural-Speech-Dereverberation - Machine and Deep Learning models for speech dereverberation
NoiseTorch - Real-time microphone noise suppression on Linux.
noise-repellent - Lv2 suite of plugins for broadband noise reduction
audio-webui - A webui for different audio related Neural Networks
TTS - πΈπ¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
P.808 - This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).
PiDTLN - Apply machine learning model DTLN for noise suppression and acoustic echo cancellation on Raspberry Pi
wenet - Production First and Production Ready End-to-End Speech Recognition Toolkit
rnnoise - Recurrent neural network for audio noise reduction
noise-suppression-for-voice - Noise suppression plugin based on Xiph's RNNoise
fish-diffusion - An easy to understand TTS / SVS / SVC framework