The American startup Useful Sensors has launched an open-source speech recognition model called Moonshine. Moonshine is designed to process audio data more efficiently, using computational resources more economically and achieving processing speeds five times faster than OpenAI's Whisper. This new model is specifically built for real-time applications on resource-constrained hardware and features a flexible architecture. Unlike Whisper, which processes audio in fixed 30-second segments, Moonshine offers a different approach.

Israeli AI startup aiOla has launched an open-source speech recognition model called Whisper-Medusa, which is 50% faster than OpenAI's Whisper. The model is built on Whisper, utilizing an innovative 'multi-head attention' architecture that allows for the prediction of more tokens at once, resulting in a significant speed increase while maintaining accuracy. Whisper-Medusa has been released on Hugging Face under the MIT License, permitting both research and commercial use.