ef5b8c6fed
We've been considering removing workspace-hack for a couple reasons: - Lukas ran into a situation where its build script seemed to be causing spurious rebuilds. This seems more likely to be a cargo bug than an issue with workspace-hack itself (given that it has an empty build script), but we don't necessarily want to take the time to hunt that down right now. - Marshall mentioned hakari interacts poorly with automated crate updates (in our case provided by rennovate) because you'd need to have `cargo hakari generate && cargo hakari manage-deps` after their changes and we prefer to not have actions that make commits. Currently removing workspace-hack causes our workspace to grow from ~1700 to ~2000 crates being built (depending on platform), which is mainly a problem when you're building the whole workspace or running tests across the the normal and remote binaries (which is where feature-unification nets us the most sharing). It doesn't impact incremental times noticeably when you're just iterating on `-p zed`, and we'll hopefully get these savings back in the future when rust-lang/cargo#14774 (which re-implements the functionality of hakari) is finished. Release Notes: - N/A
Real time streaming audio denoising using a Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression.
Trivial to build as it uses the native rust Candle crate for inference. Easy to integrate into any Rodio pipeline.
# use rodio::{nz, source::UniformSourceIterator, wav_to_file};
let file = std::fs::File::open("clips_airconditioning.wav")?;
let decoder = rodio::Decoder::try_from(file)?;
let resampled = UniformSourceIterator::new(decoder, nz!(1), nz!(16_000));
let mut denoised = denoise::Denoiser::try_new(resampled)?;
wav_to_file(&mut denoised, "denoised.wav")?;
Result::Ok<(), Box<dyn std::error::Error>>
Acknowledgements & License
The trained models in this repo are optimized versions of the models in the breizhn/DTLN. These are licensed under MIT.
The FFT code was adapted from Datadog's dtln-rs Repo also licensed under MIT.