basic-pitch
DeepFilterNet
basic-pitch | DeepFilterNet | |
---|---|---|
8 | 10 | |
2,941 | 1,933 | |
2.9% | - | |
8.4 | 8.9 | |
4 days ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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basic-pitch
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Open Source Libraries
spotify/basic-pitch: Audio to midi converter
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Mac users: is it best to just rent a linux server?
I did just get it to work setting an alias for Python pointing to 3.11 but ran into this issue: https://github.com/spotify/basic-pitch/issues/63
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Transcribing music from audio?
There's https://github.com/spotify/basic-pitch, a free converter, but require CLI usage.
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Recommended python library for converting audio file into midi ?
Might be worthwhile checking out Spotify’s basic pitch library.
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How to make a sub bass follow a bit from a mudpie?
quick add on: definitely take a look at this https://github.com/spotify/basic-pitch its a much much better offline pitch detection algo that you could use to get the midi for your mudpie. I'd probably bounce a low passed copy at around 150-200Hz, making sure its completley mono and then feed that wav/aiff file to that pitch detector
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Spotify Research Open-Sources ‘Basic Pitch’: A Machine Learning Tool For Converting Audio Into MIDI
Continue reading | Check out the paper, github, project and post
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Spotify Introduces an Open-Source Tool to Fix a Big Problem for Modern Musicians - It's FOSS News
GitHub link
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?
ai-music - A vanilla Trasformer Decoder music generation model trained on Final Fantasy OST MIDI songs
NoiseTorch - Real-time microphone noise suppression on Linux.
THIRTY-DOLLAR-HAIRCUT-GENERATOR - 30 dollar haircut website MIDI converter - Using MIDIs, QUICKLY generate a chart for the "DON'T YOU LECTURE ME WITH YOUR THIRTY DOLLAR HAIRCUT" website. The site's by GDcolon, if you need to search it up.
audio-webui - A webui for different audio related Neural Networks
gitpod - The developer platform for on-demand cloud development environments to create software faster and more securely.
noise-repellent - Lv2 suite of plugins for broadband noise reduction
concordia - Crowdsourcing platform for full text transcription and tagging. https://crowd.loc.gov
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
torchlambda - Lightweight tool to deploy PyTorch models to AWS Lambda
rnnoise - Recurrent neural network for audio noise reduction