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Acoustic Event Detection with Sequential Attention and Soft Boundary Information

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Advances in Information and Communication (FICC 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 69))

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Abstract

Acoustic event detection is to perceive the surrounding auditory sound and popularly performed by the multi-label classification based approaches. The concatenated acoustic features of consecutive frames and the hard boundary labels are adopted as the input and output respectively. However, the different input frames are treated equally and the hard boundary based outputs are error-prone. To deal with these, this paper proposes to utilize the sequential attention together with the soft boundary information. Experimental results on the latest TUT Sound Event database demonstrate the superior performance of the proposed technique.

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Notes

  1. 1.

    http://www.cs.tut.fi/sgn/arg/dcase2017/challenge/task-sound-event-detection-in-real-life-audio.

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Author information

Authors and Affiliations

  1. China University of Mining and Technology, Xuzhou, 221008, Jiangsu, China

    Jingjing Pan

  2. The University of Western Australia, Perth, WA, 6009, Australia

    Xianjun Xia

Authors
  1. Jingjing Pan
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  2. Xianjun Xia
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Corresponding author

Correspondence to Jingjing Pan .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Pan, J., Xia, X. (2020). Acoustic Event Detection with Sequential Attention and Soft Boundary Information. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-12388-8_60

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