Cactus Compute released Whistle, a 16.9 MB on-device speech recognition model that runs on CPU with no dependencies and loads into the same C++ engine as Needle. Whistle handles transcription in seven…
Set, a fully offline Markdown notes app built on the Tauri framework, ships local dictation using OpenAI's Whisper small model in its 5-bit quantized form via whisper.cpp, a 190 MB download that adds …
A pure-Java implementation of NVIDIA's Parakeet automatic speech recognition model, called Parakeet.java, matches the reference parakeet.cpp engine word-for-word at F16 quantization with 0.00% WER dif…
Hume AI's new research introduces three tests to quantify benchmark optimization in speech recognition, finding that several of 11 open-source ASR models reproduced benchmark transcripts from VoxPopul…
Pine AI's 1.2B-parameter speech recognition model tops the τ³-Voice leaderboard with a score of 75, achieving significant gains on accented speech, medical dictation, and code-switching, but only marg…
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…