most citedSurrey-cvssp system for DCASE2017 challenge task4

33 citations · 63 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD201713 cited

Large-scale weakly supervised audio classification using gated convolutional neural network

Yong Xu, Qiuqiang Kong, Wenwu Wang +1

In this paper, we present a gated convolutional neural network and a temporal attention-based localization method for audio classification, which won the 1st place in the large-sca…

cs.SD201733 cited

Surrey-cvssp system for DCASE2017 challenge task4

Yong Xu, Qiuqiang Kong, Wenwu Wang +1

In this technique report, we present a bunch of methods for the task 4 of Detection and Classification of Acoustic Scenes and Events 2017 (DCASE2017) challenge. This task evaluates…

cs.SD2017

Matrix of Polynomials Model based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling

Jian Guan, Xuan Wang, Pengming Feng +2

We study the problem of dictionary learning for signals that can be represented as polynomials or polynomial matrices, such as convolutive signals with time delays or acoustic impu…

cs.SD20177 cited

Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging

Yong Xu, Qiuqiang Kong, Qiang Huang +2

Audio tagging aims to perform multi-label classification on audio chunks and it is a newly proposed task in the Detection and Classification of Acoustic Scenes and Events 2016 (DCA…

cs.SD201710 cited

Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging

Yong Xu, Qiuqiang Kong, Qiang Huang +2

Environmental audio tagging is a newly proposed task to predict the presence or absence of a specific audio event in a chunk. Deep neural network (DNN) based methods have been succ…