754 citations · 3.2k across the 112 of their papers we have counts for
8 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…
Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation
Emad M. Grais, Hagen Wierstorf, Dominic Ward +1
In deep neural networks with convolutional layers, each layer typically has fixed-size/single-resolution receptive field (RF). Convolutional layers with a large RF capture global i…
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…
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…