Projects

Research software, open-source contributions, and formalizations.

Recorded audio passes through a shared Swift, MLX, and Metal RE-USE engine to produce enhanced audio, with Mac and iPhone/iPad interfaces.
Shared inference engine; GPU inference verified on M4 Pro.

RE-USE Apple

An independent Apple port of NVIDIA NemotronLabs RE-USE, with a shared Swift/MLX/Metal engine for a Mac CLI and an iPhone/iPad app target.

Proposed H-WavJEPA architecture with fine, intermediate, and coarse latent spaces, separate predictors, EMA targets, and per-level losses.
Proposed forecasting design; illustrative horizons.

H-WavJEPA

Hierarchical audio representation research with three learned latent spaces, EMA targets, and a PyTorch Lightning + Hydra training workflow.

Input Input speech spectrogram from the repository demo. 20 inference steps Output speech spectrogram from the repository demo after 20 inference steps.

RMFSR

An experimental MeanFlow speech-restoration implementation, with PyTorch models, training pipelines, and evaluation tools.