Improving Target Sound Extraction with Timestamp Knowledge Distillation
Author:
Affiliation:
1. Hanyang University,Department of Artificial Intelligence,Seoul,Republic of Korea
2. Hanyang University,Department of Electronic Engineering,Seoul,Republic of Korea
Funder
National Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447525.pdf?arnumber=10447525
Reference22 articles.
1. Listen to What You Want: Neural Network-Based Universal Sound Selector
2. Real-Time Target Sound Extraction
3. Few-Shot Learning of New Sound Classes for Target Sound Extraction
4. SoundBeam: Target Sound Extraction Conditioned on Sound-Class Labels and Enrollment Clues for Increased Performance and Continuous Learning
5. One-Shot Conditional Audio Filtering of Arbitrary Sounds
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