Israeli AI company aiOla has released an open source speech recognition model named Whisper Medusa, which is based on an improved architecture design that incorporates multi-head attention mechanisms, allowing it to process speech 50% faster than OpenAI's Whisper model. Whisper Medusa makes parallel predictions of ten tokens instead of the traditional one at a time, significantly enhancing speech recognition speed while maintaining performance. Its innovative training method employs weak supervision, freezing the backbone system and utilizing...

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.