Poster Session II

A report on audio tagging with deeper CNN, 1D-ConvNet and 2D-ConvNet
Qingkai Wei, Yanfang Liu, Xiaohui Ruan

The Aalto system based on fine-tuned AudioSet features for DCASE2018 task2 - general purpose audio tagging
Zhicun Xu, Peter Smit, Mikko Kurimo

Ensemble of convolutional neural networks for general-purpose audio tagging
Bogdan Pantic

Meta learning based audio tagging
Kele Xu, Boqing Zhu, Dezhi Wang, Yuxing Peng, Huaimin Wang, Lilun Zhang, Bo Li

Combining high-level features of raw audio waves and mel-spectrograms for audio tagging
Marcel Lederle, Benjamin Wilhelm

Acoustic scene classification using multi-scale features
Yang Liping, Chen Xinxing, Tao Lianjie

Towards perceptual soundscape characterization using event detection algorithms
Felix Gontier, Pierre Aumond, Mathieu Lagrange, Catherine Lavandier, Jean-François Petiot

An extensible cluster-graph taxonomy for open set sound scene analysis
Helen Bear, Emmanouil Benetos

Multi-scale convolutional recurrent neural network with ensemble method for weakly labeled sound event detection
Yingmei Guo, Mingxing Xu, Jianming Wu, Yanan Wang, Keiichiro Hoashi

Sound event detection from weak annotations: weighted-GRU versus multi-instance-learning
Léo Cances, Thomas Pellegrini, Patrice Guyot

Weakly labeled semi-supervised sound event detection using CRNN with inception module
Wootaek Lim, Sangwon Suh, Youngho Jeong

Robust median-plane binaural sound source localization
Benjamin R. Hammond, Philip J.B. Jackson

DCASE 2018 Challenge Surrey cross-task convolutional neural network baseline
Qiuqiang Kong, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley

Multi-level attention model for weakly supervised audio classification
Changsong Yu, Karim Said Barsim, Qiuqiang Kong, Bin Yang

Vocal Imitation Set: a dataset of vocally imitated sound events using the AudioSet ontology
Bongjun Kim, Madhav Ghei, Bryan Pardo, Zhiyao Duan

3D convolutional recurrent neural networks for bird sound detection
Ivan Himawan, Michael Towsey, Paul Roe

To bee or not to bee: Investigating machine learning approaches for beehive sound recognition
Ines Nolasco, Emmanouil Benetos