@moeshiro · Post #174 · 10/30/2025, 04:30 PM
试着接收了这次《三体》联动哈工大从阿斯图一号卫星上发送的 SSDV信号,只能说发送的图片真的好难看(),不过搭建解码环境的过程还是比较有趣的,也学会了 sdr 精准跟随卫星频率的操作。 #业余无线电#HAM#卫星#SSDV#ASRTU-1
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Source channel @githubtrending · Post #15385 · Jan 2
#python#deep_learning#inference#openai#quantization#speech_recognition#speech_to_text#transformer#whisper Faster-Whisper is a fast version of OpenAI's Whisper that transcribes audio up to 4x quicker with the same accuracy, using less memory on CPU or GPU—benchmarks show it beats original Whisper (e.g., 1m03s vs 2m23s for 13-min audio on GPU). Install via `pip install faster-whisper`, no FFmpeg needed, and use simple Python code like `WhisperModel("large-v3").transcribe("audio.mp3")` for segments with timestamps. You benefit by getting quick, efficient speech-to-text for real-time apps, saving time and resources on long files or batches. https://github.com/SYSTRAN/faster-whisper