138 citations · 1.4k across the 89 of their papers we have counts for
7 papers · 1 filter
A joint separation-classification model for sound event detection of weakly labelled data
Qiuqiang Kong, Yong Xu, Wenwu Wang +1
Source separation (SS) aims to separate individual sources from an audio recording. Sound event detection (SED) aims to detect sound events from an audio recording. We propose a jo…
Audio Set classification with attention model: A probabilistic perspective
Qiuqiang Kong, Yong Xu, Wenwu Wang +1
This paper investigates the classification of the Audio Set dataset. Audio Set is a large scale weakly labelled dataset of sound clips. Previous work used multiple instance learnin…
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…
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…
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…
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…