On Learning Disentangled Representation for Acoustic Event Detection

@article{Gao2019OnLD,
  title={On Learning Disentangled Representation for Acoustic Event Detection},
  author={L. Gao and Qirong Mao and M. Dong and Yu Jing and Ratna Babu Chinnam},
  journal={Proceedings of the 27th ACM International Conference on Multimedia},
  year={2019}
}
  • L. Gao, Qirong Mao, R. Chinnam
  • Published 15 October 2019
  • Computer Science
  • Proceedings of the 27th ACM International Conference on Multimedia
Polyphonic Acoustic Event Detection (AED) is a challenging task as the sounds are mixed with the signals from different events, and the features extracted from the mixture do not match well with features calculated from sounds in isolation, leading to suboptimal AED performance. In this paper, we propose a supervised β-VAE model for AED, which adds a novel event-specific disentangling loss in the objective function of disentangled learning. By incorporating either latent factor blocks or latent… 

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