Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision

Author:

Pishdadian Fatemeh,Wichern Gordon,Le Roux Jonathan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mixture to Mixture: Leveraging Close-Talk Mixtures as Weak-Supervision for Speech Separation;IEEE Signal Processing Letters;2024

2. Multi-Cue Guided Semi-Supervised Learning Toward Target Speaker Separation in Real Environments;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

3. Investigating the Role of Human Action Detector in Visual-guide Audio Source Separation System;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

4. Location as Supervision for Weakly Supervised Multi-Channel Source Separation of Machine Sounds;2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA);2023-10-22

5. Domestic Sound Classification with Deep Learning;2023 IEEE Sensors Applications Symposium (SAS);2023-07-18

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