LibriSpeech

Google's Gemma 4 model uses a 68k-parameter probe layer that predicts decoding errors by reading hidden states, achieving a 0.79-0.88 AUROC on audio benchmarks despite being trained on zero audio data…

Google researchers introduced DiffusionGemma, a 26-billion parameter mixture-of-experts speech recognition model that uses discrete diffusion to refine whole transcripts in parallel, achieving a 6.6% …

Interfaze, a Y Combinator-backed startup, open-sourced diffusion-gemma-asr-small, the first multilingual diffusion-based ASR model. The model transcribes six languages using a single 42M-parameter ada…