35 citations · 79 across the 7 of their papers we have counts for
4 papers · 1 filter
Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast
Boqing Zhu, Kele Xu, Changjian Wang +4
We present an approach to learn voice-face representations from the talking face videos, without any identity labels. Previous works employ cross-modal instance discrimination task…
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…
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…
Learning Environmental Sounds with Multi-scale Convolutional Neural Network
Boqing Zhu, Changjian Wang, Feng Liu +3
Deep learning has dramatically improved the performance of sounds recognition. However, learning acoustic models directly from the raw waveform is still challenging. Current wavefo…