hawaiicoco / slotvox

End-to-end spoken language understanding toolkit: a small trainable neural audio codec with RVQ, joint intent-and-slot models over speech features, streaming partial intents, a speech-LLM instruction data pipeline, and turn-level evaluation with reproducible reports. NumPy core with a CPU-only torch extra; synthetic data only, fully offline.

fufuchiu / speechloom

End-to-end speech model research: waveform encoding, causal decoding, codec tokens, joint losses and streaming.