Introducing Project Voice, an innovative real-time speech-to-text application that leverages cutting-edge AI technologies to provide seamless transcription and refinement capabilities. Powered by the Groq® LPU™ AI inference technology, Project Voice combines the speed of Whisper V3 Large for speech recognition with the intelligence of large language models (LLMs) for transcript refinement, all in real-time.
Project Voice offers a user-friendly interface where users can easily record their speech, view the transcription, and optionally refine the output using LLMs. The application stands out for its ability to process and refine speech at Groq speed. Users can select from multiple LLMs, customize refinement instructions, and toggle automatic refinement for a tailored experience.
Project Voice demonstrates the potential of combining multiple AI models in a single, cohesive application. By leveraging Groq’s high-speed inference capabilities, it achieves remarkably low latency, making it suitable for real-time applications in various domains such as transcription services, accessibility tools, and voice-controlled interfaces.
About the Author:
Soami Kapadia is an AI applications intern at Groq. He is currently creating applications and demos using Groq to showcase the true potential of super fast AI inference. He is a junior undergrad studying Computer Science at Michigan State University. You can learn more about him here.