Audio Prompt Tuning for Universal Sound Separation
Author:
Affiliation:
1. ByteDance Inc,Speech, Audio & Music Intelligence (SAMI) Group
2. University of Surrey,Centre for Vision, Speech and Signal Processing (CVSSP)
3. Tsinghua University,Shenzhen International Graduate School
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447061.pdf?arnumber=10447061
Reference20 articles.
1. Sparse, Efficient, and Semantic Mixture Invariant Training: Taming In-the-Wild Unsupervised Sound Separation
2. Source Separation with Weakly Labelled Data: an Approach to Computational Auditory Scene Analysis
3. Separate What You Describe: Language-Queried Audio Source Separation
4. Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data
5. Few-Shot Learning of New Sound Classes for Target Sound Extraction
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