AuroraASR-1M Releases!
It's an extremely lightweight speech recognition model.
Proof1 community thread
Key points
- 949K parameters using a weight-shared Conformer-CTC architecture
- Just 1.06 MB for INT8 weights
- Around 436× real-time on a single CPU thread
- 11.43% WER on LibriSpeech test-clean, using greedy decoding with no external language model
Sources (1)
- [1]AuroraASR-1M Releases!r/LocalLLaMA (top, daily) · Oct 18, 12:48 PM
It's an extremely lightweight speech recognition model.
949K parameters using a weight-shared Conformer-CTC architecture
Extractive summary: sentences quoted from the sources.
Before this
- Oct 18, 2026GPT-2 KV cache from scratch: correctness, latency, and memory measurements [P]
- Oct 17, 2026MOSS-Image LoRA training is now in AcademiaSD LoRAlab Trainer Studio (Base and SFT, under 6 GB VRAM)
- Oct 17, 2026model : add Kolibri-1 (Aleph-Alpha) support by riteme · Pull Request #30673 · ggml-org/llama.cpp
- Oct 16, 2026MOSS-Image (5B, Apache 2.0) on a 12 GB RTX 3060: INT8 quant + lodestones' 8-step DMD turbo in ComfyUI - 35 hard prompts, one seed, no cherry-picking
- Oct 15, 2026open source framework that makes your AI agents generate UI elements
- Oct 15, 2026Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint
