53 citations · 254 across the 25 of their papers we have counts for
8 papers · 1 filter
Learning data augmentation policies using augmented random search
Mingyang Geng, Kele Xu, Bo Ding +2
Previous attempts for data augmentation are designed manually, and the augmentation policies are dataset-specific. Recently, an automatic data augmentation approach, named AutoAugm…
General audio tagging with ensembling convolutional neural network and statistical features
Kele Xu, Boqing Zhu, Qiuqiang Kong +4
Audio tagging aims to infer descriptive labels from audio clips. Audio tagging is challenging due to the limited size of data and noisy labels. In this paper, we describe our solut…
Collaborative Deep Learning Across Multiple Data Centers
Kele Xu, Haibo Mi, Dawei Feng +4
Valuable training data is often owned by independent organizations and located in multiple data centers. Most deep learning approaches require to centralize the multi-datacenter da…
Sample Mixed-Based Data Augmentation for Domestic Audio Tagging
Shengyun Wei, Kele Xu, Dezhi Wang +3
Audio tagging has attracted increasing attention since last decade and has various potential applications in many fields. The objective of audio tagging is to predict the labels of…
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…
Sample Dropout for Audio Scene Classification Using Multi-Scale Dense Connected Convolutional Neural Network
Dawei Feng, Kele Xu, Haibo Mi +2
Acoustic scene classification is an intricate problem for a machine. As an emerging field of research, deep Convolutional Neural Networks (CNN) achieve convincing results. In this…
Multi-Scale DenseNet-Based Electricity Theft Detection
Bo Li, Kele Xu, Xiaoyan Cui +3
Electricity theft detection issue has drawn lots of attention during last decades. Timely identification of the electricity theft in the power system is crucial for the safety and…
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…