265 citations · 1k across the 80 of their papers we have counts for
8 papers · 2 filters
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…
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…
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…
Cross-task learning for audio tagging, sound event detection spatial localization: DCASE 2019 baseline systems
Qiuqiang Kong, Yin Cao, Turab Iqbal +3
The Detection and Classification of Acoustic Scenes and Events (DCASE) 2019 challenge focuses on audio tagging, sound event detection and spatial localisation. DCASE 2019 consists…