138 citations · 587 across the 49 of their papers we have counts for
9 papers · 1 filter
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
Qiuqiang Kong, Yin Cao, Turab Iqbal +3
Audio pattern recognition is an important research topic in the machine learning area, and includes several tasks such as audio tagging, acoustic scene classification, music classi…
Sound Event Detection of Weakly Labelled Data with CNN-Transformer and Automatic Threshold Optimization
Qiuqiang Kong, Yong Xu, Wenwu Wang +1
Sound event detection (SED) is a task to detect sound events in an audio recording. One challenge of the SED task is that many datasets such as the Detection and Classification of…
Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances
Jie Jiang, Qiuqiang Kong, Mark Plumbley +1
Energy disaggregation, a.k.a. Non-Intrusive Load Monitoring, aims to separate the energy consumption of individual appliances from the readings of a mains power meter measuring the…
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks
Qiuqiang Kong, Yong Xu, Wenwu Wang +2
Single-channel signal separation and deconvolution aims to separate and deconvolve individual sources from a single-channel mixture and is a challenging problem in which no prior k…
Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy
Yin Cao, Qiuqiang Kong, Turab Iqbal +3
Sound event detection (SED) and localization refer to recognizing sound events and estimating their spatial and temporal locations. Using neural networks has become the prevailing…
Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering
Yuanbo Hou, Qiuqiang Kong, Shengchen Li +1
Sound event detection (SED) methods typically rely on either strongly labelled data or weakly labelled data. As an alternative, sequentially labelled data (SLD) was proposed. In SL…