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arXiv · 1808.06676

A simple model for detection of rare sound events

Weiran Wang·Chieh-chi Kao·Chao Wang
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Abstract

We propose a simple recurrent model for detecting rare sound events, when the time boundaries of events are available for training. Our model optimizes the combination of an utterance-level loss, which classifies whether an event occurs in an utterance, and a frame-level loss, which classifies whether each frame corresponds to the event when it does occur. The two losses make use of a shared vectorial representation the event, and are connected by an attention mechanism. We demonstrate our model on Task 2 of the DCASE 2017 challenge, and achieve competitive performance.

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Weiran Wang, Chieh-chi Kao, Chao Wang. 2018-08-20. A simple model for detection of rare sound events. https://arxiv.org/abs/1808.06676

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