Sparse, Efficient, and Semantic Mixture Invariant Training: Taming In-the-Wild Unsupervised Sound Separation

1 June 2021

Papers citing "Sparse, Efficient, and Semantic Mixture Invariant Training: Taming In-the-Wild Unsupervised Sound Separation"

7 / 7 papers shown

Title
Audio Prompt Tuning for Universal Sound Separation Yuzhuo Liu Xubo Liu Yan Zhao Yuanyuan Wang Rui Xia Pingchuan Tain Yuxuan Wang VLM 39 5 0 30 Nov 2023
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos Hao-Wen Dong Naoya Takahashi Yuki Mitsufuji Julian McAuley Taylor Berg-Kirkpatrick VLM CLIP 28 25 0 14 Dec 2022
Self-Remixing: Unsupervised Speech Separation via Separation and Remixing Kohei Saijo Tetsuji Ogawa SSL 22 11 0 18 Nov 2022
Adversarial Permutation Invariant Training for Universal Sound Separation Emilian Postolache Jordi Pons Santiago Pascual Joan Serrà VLM 28 6 0 21 Oct 2022
Distance-Based Sound Separation K. Patterson K. Wilson Scott Wisdom J. Hershey 19 20 0 01 Jul 2022
Heterogeneous Separation Consistency Training for Adaptation of Unsupervised Speech Separation Jiangyu Han Yanhua Long 25 6 0 23 Apr 2022
MixCycle: Unsupervised Speech Separation via Cyclic Mixture Permutation Invariant Training Ertuğ Karamatlı S. Kırbız SSL 33 9 0 08 Feb 2022