#Silero VAD

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.

Silero VAD is a pre-trained solution for voice activity detection, notable for its accuracy and speed. Supporting over 6000 languages and multiple sampling rates, it is adaptable to diverse audio environments. Lightweight and portable, it utilizes PyTorch and ONNX ecosystems for broad application in IoT, mobile, telephony, and voice interfaces. Free from restrictions, it ensures privacy with no telemetry or vendor lock-in, offering robust performance suitable for real-time detection across varied use cases.