University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Capsule Routing for Sound Event Detection

Iqbal, Turab, Xu, Yong, Kong, Qiuqiang and Wang, Wenwu (2018) Capsule Routing for Sound Event Detection In: 26th European Signal Processing Conference (EUSIPCO 2018), 3 - 7 September 2018, Rome, Italy.

Capsule Routing for Sound Event Detection.pdf - Accepted version Manuscript

Download (361kB) | Preview


The detection of acoustic scenes is a challenging problem in which environmental sound events must be detected from a given audio signal. This includes classifying the events as well as estimating their onset and offset times. We approach this problem with a neural network architecture that uses the recentlyproposed capsule routing mechanism. A capsule is a group of activation units representing a set of properties for an entity of interest, and the purpose of routing is to identify part-whole relationships between capsules. That is, a capsule in one layer is assumed to belong to a capsule in the layer above in terms of the entity being represented. Using capsule routing, we wish to train a network that can learn global coherence implicitly, thereby improving generalization performance. Our proposed method is evaluated on Task 4 of the DCASE 2017 challenge. Results show that classification performance is state-of-the-art, achieving an Fscore of 58.6%. In addition, overfitting is reduced considerably compared to other architectures.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Date : 3 December 2018
DOI : 10.23919/EUSIPCO.2018.8553198
Copyright Disclaimer : Copyright 2018 EURASIP. Published by IEEE.
Uncontrolled Keywords : Routing; Neural networks; Feature extraction; Task analysis; Convolution; Event detection
Related URLs :
Depositing User : Melanie Hughes
Date Deposited : 21 Jun 2018 13:49
Last Modified : 13 Dec 2018 16:10

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800