SCISSOR: Score-Conditioned Instrument Source Separation for Orchestral Recordings
cs.SD, cs.AI, eess.AS
Submitted: 2026-09-27
Updated: 2026-09-27
Comments: 5 pages, 1 figure, 3 tables. Submitted to ICASSP 2027
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation
- Hybrid Transformers for Music Source Separation
- Score-informed Music Source Separation: Improving Synthetic-to-real Generalization in Classical Music
- Creating A Multi-track Classical Musical Performance Dataset for Multimodal Music Analysis: Challenges, Insights, and Applications
Related papers
- Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement
- Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
- Remix the Timbre: Diffusion-Based Style Transfer Across Polyphonic Stems
- AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking
- SoundWeaver: Compositional Warm-Starting for Text-to-Audio Diffusion Serving
- WASIL: In-the-Wild Arabic Spoken Interactions with LLMs