SwaraTTS: latent flow matching for speech
- A low-latency neural speech synthesizer called SwaraTTS utilizes latent flow matching to generate high-quality audio efficiently with minimal solver steps.
PyTorchDiffusionFlow MatchingCNFTTS
About
NH-LoRA is a rehearsal-free class-incremental learning method built on a frozen Vision Transformer and parameter-efficient low-rank adaptation. It separates reusable cross-task knowledge from task-specific expandable memory, then uses a task-aware planner to control structural decisions such as reuse, rank expansion, or new-slot creation. During learning, sparse routing and post-task consolidation help balance plasticity and stability while keeping parameter growth under control.