The MVSep Guitar model is based on the MDX23C architecture. The model produces high-quality separation of music into a guitar part (including acoustic and electronic) and everything else. The model was compared with the Demucs4HT model (6 stems) on a guitar validation set. The metric used is SDR: the higher the better.
See the results in the table below.
|Validation type||Algorithm name|
|Demucs4HT (6 stems)||MVSep Guitar 2023 (Type 0)||MVSep Guitar 2023 (Type 1)|
The model is available in two versions. In the first version, the neural network model for the guitar is used directly on the entire track. In the second case, the track is first divided into two parts, vocal and instrumental, and then the neural network model for the guitar is applied only to the instrumental part. In the second case, the separation quality is usually slightly higher.