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arXiv · 1911.11373

A two-step system for sound event localization and detection

T. N. T. Nguyen·D. L. Jones·R. Ranjan·S. Jayabalan·W. S. Gan
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Abstract

Sound event detection and sound event localization requires different features from audio input signals. While sound event detection mainly relies on time-frequency patterns to distinguish different event classes, sound event localization uses magnitude or phase differences between microphones to estimate source directions. Therefore, we propose a two-step system to do sound event localization and detection. In the first step, we detect the sound events and estimate the directions-of-arrival separately. In the second step, we combine the results of the event detector and direction-of-arrival estimator together. The obtained results show a significant improvement over the baseline solution for sound event localization and detection in DCASE 2019 task 3 challenge. Using the evaluation dataset, the proposed system achieved an F1 score of 93.4% for sound event detection and an error of 5.4 degrees for direction-of-arrival estimation, while the winning solution achieved an F1 score of 94.7% and an angle error of 3.7 degrees respectively.

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T. N. T. Nguyen, D. L. Jones, R. Ranjan, S. Jayabalan, W. S. Gan. 2019-11-26. A two-step system for sound event localization and detection. https://arxiv.org/abs/1911.11373

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