no code implementations • 27 Jan 2021 • Yiying Li, Wei Zhou, Huaimin Wang, Haibo Mi, Timothy M. Hospedales
Federated learning (FL) enables distributed participants to collectively learn a strong global model without sacrificing their individual data privacy.
2 code implementations • 30 Oct 2018 • Kele Xu, Boqing Zhu, Qiuqiang Kong, Haibo Mi, Bo Ding, Dezhi Wang, Huaimin Wang
Audio tagging is challenging due to the limited size of data and noisy labels.
no code implementations • 16 Oct 2018 • Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang, Chuan Chen, Zibin Zheng, Xu Lan
Valuable training data is often owned by independent organizations and located in multiple data centers.
no code implementations • 12 Jun 2018 • Dawei Feng, Kele Xu, Haibo Mi, Feifan Liao, Yan Zhou
In this paper, we explore the use of multi-scale Dense connected convolutional neural network (DenseNet) for the classification task, with the goal to improve the classification performance as multi-scale features can be extracted from the time-frequency representation of the audio signal.
no code implementations • 18 May 2018 • Kele Xu, Dawei Feng, Haibo Mi, Boqing Zhu, Dezhi Wang, Lilun Zhang, Hengxing Cai, Shuwen Liu
Audio scene classification, the problem of predicting class labels of audio scenes, has drawn lots of attention during the last several years.