MUSDB-18-HQ
Emerging6papers using it
2023first seen
The 'MUSDB18-HQ' dataset is a benchmark that contains high-quality multi-track music recordings used to evaluate the performance of music source separation methods.
Papers using MUSDB-18-HQ (6)
- COCOLA: Coherence-oriented Contrastive Learning Of Musical Audio RepresentationsDiscrete Token Modeling for Multi-Stem Music Source Separation with Language ModelsCOCOLA: Coherence-Oriented Contrastive Learning of Musical Audio
RepresentationsMusic Source Separation with Band-Split RoPE TransformerSCNet: Sparse Compression Network for Music Source SeparationMel-Band RoFormer for Music Source Separation