754 citations · 3.2k across the 112 of their papers we have counts for
11 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…
Sound Event Localization and Detection Using CRNN on Pairs of Microphones
Francois Grondin, James Glass, Iwona Sobieraj +1
This paper proposes sound event localization and detection methods from multichannel recording. The proposed system is based on two Convolutional Recurrent Neural Networks (CRNNs)…
Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation
Emad M. Grais, Fei Zhao, Mark D. Plumbley
Deep neural networks with convolutional layers usually process the entire spectrogram of an audio signal with the same time-frequency resolutions, number of filters, and dimensiona…
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…