Sub-20ms precision lyrics alignment and pristine audio separation. Built for the modern KTV experience.
Karaoke+ is a hyper-optimized, hybrid machine learning pipeline designed to solve the two hardest problems in automated karaoke generation: mathematical timestamp drift and audio separation artifacts.
By utilizing a bifurcated architecture, Karaoke+ delivers studio-quality MDX audio for the human ear while routing raw audio through a DSP-traced CTC alignment matrix for the machine. The result? Zero AI hallucination, perfect legato vocal tracking, and sub-20ms lyric synchronization.
If this pipeline saves you compute time or engineering headaches, consider supporting its continued development.
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Engineered with a focus on functional minimalism and industrial-grade automation by Ian Tirta Harjono.
- Website: iantirta.com
- Instagram: @iantirtaa
Karaoke+ is an independent engineering project licensed under Apache 2.0.