KageMusic is a Music Source Separation based on Deezer Spleeter, Google TensorFlow, allow you to split or extract Voice and Music or Multiple Instrument into different files or tracks.
KageMusic also can be use to make a A cappella (Vocal) or Karaoke (Instrumental)
KageMusic also can separate drums / bass / piano / other separation
Anime4000
User Interface
Example
Here several example processed audio file
Super Idol (Bahasa Malaysia Cover) feat. Liliana Vampaia
Kimi Ga Inai Natsu
fripSide – Prominence
Detective Conan Opening – Episode 86
Detective Conan Ending – Episode 86
As you can hear, not all music can be process properly due to lossy codec nature, it’s advisable to use Hi-Fi Song such as FLAC codec in 48KHz or at least CD level quality (44.1KHz @ 16-bit).
MP3, MP4 might not produce good enough, use high bit-rate is top priority to use this program.
In the future, A.I. smart enough to reconstruct missing information from lossy codec and produce higher quality results.
System Requirement
| Processor | Intel Core i3 4th Gen / AMD FX-4100 (AVX & LibROSA) |
| Memory | 8 GB |
| Graphics Card | Nvidia RTX 2000 series / AMD Radeon RX 5000 series (TensorFlow) |
| Storage | 3 GB Free Space for A.I. Engine and Training Data |
| Operating System | Windows 7 SP1 64-bit with .NET Framework 4.8 |
If you have weak (Intel Atom, Celeron, Pentium) or old (Core 2 Duo, AthlonII) might not able to run properly, or might overheat because it run forever, since these CPU have missing modern Instruction Set such as AVX-128
This program can be run without GPU, since it run on CPU, processing time might take longer on 4 core system.
Download
| HITOHA Cloud (Malaysia) |
| SourceForge (Global) |
| GitHub Release (Global) |