It builds upon the capabilities of the WhisperLive and WhisperSpeech by integrating Mistral, a Large Language Model (LLM), on top of the real-time speech-to-text pipeline. Both LLM and Whisper are optimized to run efficiently as TensorRT engines, maximizing performance and real-time processing capabilities.
WhisperFusion is a tool in the Voice & Audio Models category of a tech stack.
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What are some alternatives to WhisperFusion?
It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.
It is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.
Docker, Whisper, Mistral 7B are some of the popular tools that integrate with WhisperFusion. Here's a list of all 3 tools that integrate with WhisperFusion.