Whisper_streaming
Visit Toolwhisper_streaming is an Open Source Audio & Music tool that enables real-time speech-to-text transcription and translation. It transforms OpenAI's Whisper model into a streaming system for long audio.
whisper_streaming is an Open Source Audio & Music tool that enables real-time speech-to-text transcription and translation. It transforms OpenAI's Whisper model into a streaming system for long audio.
About
whisper_streaming is an open-source project designed to convert OpenAI's Whisper model into a real-time transcription and translation system. It addresses the challenge of processing long audio streams by implementing a local agreement policy with self-adaptive latency, ensuring high-quality output with minimal delay. The tool supports various Whisper backends, including faster-whisper, whisper-timestamped, OpenAI API, and Whisper MLX for Apple Silicon, offering flexibility in deployment and performance. It includes features like voice activity control (VAC) and voice activity detection (VAD) for improved accuracy and efficiency, along with different buffer trimming strategies to optimize transcription quality and latency. The project provides options for real-time simulation from audio files and a server for live transcription from microphones, making it suitable for diverse applications requiring immediate speech processing.