39 citations · 120 across the 7 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.SD2018★ 6 cited
Weakly supervised CRNN system for sound event detection with large-scale unlabeled in-domain data
Dezhi Wang, Lilun Zhang, Changchun Bao +3
Sound event detection (SED) is typically posed as a supervised learning problem requiring training data with strong temporal labels of sound events. However, the production of data…
cs.SD2018★ 4 cited
Environmental Sound Classification Based on Multi-temporal Resolution Convolutional Neural Network Combining with Multi-level Features
Boqing Zhu, Kele Xu, Dezhi Wang +3
Motivated by the fact that characteristics of different sound classes are highly diverse in different temporal scales and hierarchical levels, a novel deep convolutional neural net…
cs.CV2018★ 7 cited
Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network
Kele Xu, Dawei Feng, Haibo Mi +5
Audio scene classification, the problem of predicting class labels of audio scenes, has drawn lots of attention during the last several years. However, it remains challenging and f…