Original Summary

This is my first real project; keep in mind I have no formal programming&#x2F;CS background. It is hand-written; AI was only used for some conceptual questions.<p>Background: There&#x27;s an epidemic of &quot;fake&quot; .flac audio files floating around: lossy audio masquerading as true lossless-quality audio. I rewrote the fakeflac.py utility in Go, adding multithreading to greatly improve performance, and increasing portability by embedding an optional WASM build of ffmpeg.<p>Limitations: the original fakeflac algorithm is a great starting point, but it fails to find a cutoff point with some (obviously very low quality) audio files and produces a false score of 100%. I added CLI flags to tune the cutoff detection, but future versions definitely need some work (less normalization? entirely new detection algorithm?)

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Hacker News 新项目
  • 发布时间：2026/10/3 10:55:37