#real-time transcription

Cheetah, an AI-powered macOS tool, discreetly assists remote software engineering interviews by combining real-time audio transcription with AI-generated solutions using Whisper and GPT-4. Compatible with macOS 13.1+, it requires a recent M1/M2 Mac and an OpenAI API key for optimal use. Primarily educational, Cheetah is not intended for real-world interview reliance.

WhisperLive utilizes OpenAI's Whisper model for real-time speech-to-text conversion from various audio sources including microphone input, pre-recorded files, RTSP, and HLS streams. With support for Faster Whisper and TensorRT backends, it provides flexible performance across different environments. The project supports multilingual transcription and can be deployed in both GPU and CPU setups. Additionally, browser extensions enhance its usability by enabling direct audio transcription. WhisperLive offers an efficient setup and environment configuration for diverse transcription needs.

This project provides real-time transcription using cutting-edge models such as Faster-Whisper and Silero VAD for precise voice activity detection. Audio input can be processed via a microphone, and the transcription is converted to text swiftly. Easy configuration is possible through the HTML-based interface. Significant features include converting audio to text, synchronizing audio files, supporting live streaming subtitles with WebSocket, and generating SRT files. Regular updates ensure compatibility with the latest models, maintaining exceptional transcription accuracy and speed.

Improve interview skills with an application designed for real-time audio processing, voice recognition, and response generation using Generative AI. The tool transcribes and answers questions with OpenAI's Whisper and GPT models, offering cross-platform capability. Ideal for practice and learning, it includes an intuitive interface and MacOS audio support via BlackHole. This proof-of-concept requires Python 3.10+ and an OpenAI API key for setup. Ethical use is strongly recommended.