A Karaoke Server for My Partner, and Two Local AI Models That Argue About Cantopop at 4 am

说明与用途

构建了一个完全自动化的卡拉OK服务器，用户可以通过二维码排队歌曲，显示歌词，并使用本地AI模型自动按语言对新歌曲进行分类和重命名。

问题

The partner’s karaoke machine had a slow, locked‑down tablet that made searching for songs in Mandarin, Cantonese, and Korean difficult, and the existing song library was poorly organized with untidy filenames.

结果

Implemented a fully automated karaoke server that allows users to queue songs via QR code, displays lyrics, and automatically classifies and renames new songs by language using local AI models, reducing manual file organization.

工作流

• 1. Install PiKaraoke in a Linux container on a fast node. 2. Point PiKaraoke to the NAS library. 3. Configure PiKaraoke to display lyrics in the browser. 4. Generate a QR code on the TV for phone queuing. 5. Set up a nightly job that scans the top folder for new files. 6. Run two local language‑identification models on each new file. 7. If both models agree, rename the file to a standardized name and move it to the library. 8. If models disagree on Mandarin vs. Cantonese, run a third model (Jev) to decide. 9. If models cannot agree, leave the file pending for human review.

证据

The plan had been obvious for a while. Demote the machine to what it’s good at, speakers and mics, and put the brains somewhere else.

来源

The agent set up monitoring, which meant picking a search to run every hour as a health check, and it tried the searches this house would really make.

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If they agree, it’s renamed and filed. If they both say Chinese but can’t agree which kind, a third model called Jev settles it.

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