MERL - Mitsubishi Electric Research Laboratories

TR2022-092

Disentangled surrogate task learning for improved domain generalization in unsupervised anomolous sound detection

    •  Venkatesh, S., Wichern, G., Subramanian, A.S., Le Roux, J., "Disentangled surrogate task learning for improved domain generalization in unsupervised anomolous sound detection," Tech. Rep. TR2022-092, Detection and Classification of Acoustic Scenes and Events (DCASE) Challenge 2022, July 2022.
      BibTeX TR2022-092 PDF Presentation
      • @techreport{Venkatesh2022jul,
      • author = {Venkatesh, Satvik and Wichern, Gordon and Subramanian, Aswin Shanmugam and Le Roux, Jonathan},
      • title = {Disentangled surrogate task learning for improved domain generalization in unsupervised anomolous sound detection},
      • institution = {DCASE2022 Challenge},
      • year = 2022,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2022-092}
      • }
  • MERL Contacts:
  • Research Areas:

    Artificial Intelligence, Speech & Audio

Abstract:

We present our submission to the DCASE2022 Challenge Task 2, which focuses on domain generalization for anomalous sound detection. We investigated a novel multitask learning framework that disentangles domain shared features and domain-specific features. Disentanglement leads to better latent features and also increases flexibility in post-processing due to the availability of multiple embedding spaces. Our disentangled model obtains an overall harmonic mean of 74.57% on the development set, surpassing the MobileNetV2 baseline, which obtains 56.01%. Lastly, we explore the use of machine-specific loss functions and domain generalization methods, which improves our overall performance to 76.42%.

 

  • Related Publication

  •  Venkatesh, S., Wichern, G., Subramanian, A.S., Le Roux, J., "IMPROVED DOMAIN GENERALIZATION VIA DISENTANGLED MULTI-TASK LEARNING IN UNSUPERVISED ANOMALOUS SOUND DETECTION", DCASE Workshop, Lagrange, M. and Mesaros, A. and Pellegrini, T. and Richard, G. and Serizel, R. and Stowell, D., Eds., November 2022.
    BibTeX TR2022-146 PDF
    • @inproceedings{Venkatesh2022nov,
    • author = {Venkatesh, Satvik and Wichern, Gordon and Subramanian, Aswin Shanmugam and Le Roux, Jonathan},
    • title = {IMPROVED DOMAIN GENERALIZATION VIA DISENTANGLED MULTI-TASK LEARNING IN UNSUPERVISED ANOMALOUS SOUND DETECTION},
    • booktitle = {Detection and Classification of Acoustic Scenes and Events Workshop (DCASE)},
    • year = 2022,
    • editor = {Lagrange, M. and Mesaros, A. and Pellegrini, T. and Richard, G. and Serizel, R. and Stowell, D.},
    • month = nov,
    • isbn = {978-952-03-2677-7},
    • url = {https://www.merl.com/publications/TR2022-146}
    • }