Program

Acoustic event search with an onomatopoeic query: Measuring distance between onomatopoeic words and sounds
Shota Ikawa, Kunio Kashino

Fast mosquito acoustic detection with field cup recordings: An initial investigation
Yunpeng Li, Ivan Kiskin, Marianne Sinka, Davide Zilli, Henry Chan, Eva Herreros-Moya, Theeraphap Chareonviriyaphap, Rungarun Tisgratog, Kathy Willis, Stephen Roberts

Acoustic bird detection with deep convolutional neural networks
Mario Lasseck

Domain tuning methods for bird audio detection
Sidrah Liaqat, Narjes Bozorg, Neenu Jose, Patrick Conrey, Anthony Tamasi, Michael T. Johnson

Large-scale weakly labeled semi-supervised sound event detection in domestic environments
Romain Serizel, Nicolas Turpault, Hamid Eghbal-Zadeh, Ankit Parag Shah

Sound event detection using weakly labelled semi-supervised data with GCRNNs, VAT and self-adaptive label refinement
Robert Harb, Franz Pernkopf

Iterative knowledge distillation in R-CNNs for weakly-labeled semi-supervised sound event detection
Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer

Data-efficient weakly supervised learning for low-resource audio event detection using deep learning
Veronica Morfi, Dan Stowell

Attention-based convolutional neural networks for acoustic scene classification
Zhao Ren, Qiuqiang Kong, Kun Qian, Mark Plumbley, Björn Schuller

Unsupervised adversarial domain adaptation for acoustic scene classification
Shayan Gharib, Konstantinos Drossos, Emre Cakir, Dmitriy Serdyuk, Tuomas Virtanen

A multi-device dataset for urban acoustic scene classification
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen

Training general-purpose audio tagging networks with noisy labels and iterative self-verification
Matthias Dorfer, Gerhard Widmer

Audio tagging system using densely connected convolutional networks
Il-Young Jeong, Hyungui Lim

General-purpose audio tagging by ensembling convolutional neural networks based on multiple features
Kevin Wilkinghoff