Nightingale – open-source karaoke app that works with any song on your computer
nightingale.cafe136 points by rzzzzru 5 hours ago
136 points by rzzzzru 5 hours ago
I've been working on a karaoke app called Nightingale. You point it at your music folder and it turns your songs into karaoke - separates vocals from instrumentals, generates word-level synced lyrics, and lets you sing with highlighted lyrics and pitch scoring. Works with video files too.
Everything runs locally on your machine, nothing gets uploaded. No accounts, no subscriptions, no telemetry.
It ships as a single binary for Linux, macOS, and Windows. On first launch it sets up its own isolated Python environment and downloads the ML models it needs - no manual installation of dependencies required.
My two biggest drivers for the creation of this were:
The lack of karaoke coverage for niche, avant-garde, and local tracks.
Nostalgia for the good old cheesy karaoke backgrounds with flowing rivers, city panoramas, etc.
Stem separation using the UVR Karaoke model (preserves backing vocals) or Demucs
Automatic lyrics via WhisperX transcription, or fetched from LRCLIB when available
Pitch scoring with player profiles and scoreboards
Gamepad support and TV-friendly UI scaling for party setups
GPU acceleration on NVIDIA (CUDA) and Apple Silicon (CoreML/MPS)
Built with Rust and the Bevy engine
Feedback and contributions welcome.
Just tried it with B.E.D - Walk Away[0], unfortunately it lost track of the lyrics after 30 secs (Model is "large-v3"). Will play around a bit more, as it would be great to have a working karaoke generator.
Some quick feedback:
- Needs a way to skip for-/backwards during playback to validate the result
- Sentences seem to be recognized (first letter has uppercasing), but periods aren't added
- Needs an option to edit results from the track analysis
hey mate! thanks for your feedback.
indeed, I'm running to two problems on the analyzer side: 1. align model sliding off (especially w/ chorus/back vocals present) 2. transcript skipping parts of lyrics in lyrics-heavy tracks (I tried a lot of russian rap, lol)
happy for contributions as I'm not that experienced w/ machine learning side of the project, mostly it was emperical "tweak the parameters and look what is changed"
also model only affects the transcript job (I need to make it clearer in the UI). For the alignment, it's a single model provided by whisperx
Excited to try this out. How well does WhisperX deal with lyrics in say Mandarin or Cantonese? Does it output Hanzi?
Struggled somewhat with Tjamuku Ngurra by the Tjintu Desert Band, absolutely nailed Mariah Carey's Ken Lee.
This looks like awesome awesome fun! Will let you know how it runs. What a wonderful idea <3
My wife is a huge karaoke fan. I'm especially interested in the pitch scoring since we usually play the karaoke games on older consoles for that exact feature. Nobody really makes games like that anymore without a subscription (and most of these good modern karaoke platforms are exclusive to east asia anyways). If this works well this could make for some really fun social events, looking forward to trying this.
please try it out and share your feedback afterwards!
both transcript/alignment might not work perfectly, but it really depends on the song
This looks great, but I don't understand what it's supposed to do. I assumed the idea was "remove the lyrics" but of the 5 songs I tried (from Cry Cry Cry, Indigo Girls, and Suzanne Vega), none seemed to have any change from the original at all - it's showing the words on the screen (and the timing is perfect) but it's not removing the singing at all. How do you turn off the singing?
hey!
you can use + / - buttons on the keyboard to change the level of guidance according to your preference, generally there is a controls legend in the top right corner
Yeah, I did that. I think the problem is when there are multiple singers harmonizing it only removes one.
This is very cool. I couldn't find it it already supports duets. I assume it won't.
Open source, local and passion driven. The kind of news that make me believes in humanity again. Thank you, can't wait to try it this week-end !
this is more nuanced than the title suggests. worth reading the whole thing
>app that works with any song on your computer
Impressive, very nice. Now let's see my death metal collection.
Just joking! Very nice, thanks for open-sourcing it.
No joke, feel free to try it! The beauty of the approach is that you don't have any limitations. Just be prepared to degraded experience, sometimes models struggle even with the simplest pop tracks :D
I hate to be that guy that points out other projects but YARG has vocals and there are a slew of songs that can be used.
This looks amazing! looking forward to test it on the weekend. Does it work well on a raspberry pi with 4 gigs of ram?
oof, since it uses quite heavy models locally I would expect it to struggle on such hardware. M1+ macs & nvidia gpus work the best and fastest.
VirusTotal says the .EXE is flagged by 1 security vendor but threat is low
I think you nailed it. Does it support pitch/tempo controls?
surprised this isn't talked about more
I've just made it public a few days back :)
need more pioneers to try it out and spread the word!