Program

Open-set acoustic scene classification with deep convolutional autoencoders
Kevin Wilkinghoff, Frank Kurth

Distilling the knowledge of specialist deep neural networks in acoustic scene classification
Jee-weon Jung, HeeSoo Heo, Hye-jin Shim, Ha-Jin Yu

Exploiting parallel audio recordings to enforce device invariance in CNN-based acoustic scene classification
Paul Primus, Hamid Eghbal-zadeh, David Eitelsebner, Khaled Koutini, Andreas Arzt, Gerhard Widmer

Robustness of adversarial attacks in sound event classification
Vinod Subramanian, Emmanouil Benetos, Mark B. Sandler

Sound event classification and detection with weakly labeled data
Sharath Adavanne, Haytham M Fayek, Vladimir Tourbabin

Urban sound tagging using convolutional neural networks
Sainath Adapa

Convolutional recurrent neural network and data augmentation for audio tagging with noisy labels and minimal supervision
Janek Ebbers, Reinhold Häb-Umbach

Guided learning convolution system for DCASE 2019 task 4
Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian

Crowdsourcing a dataset of audio captions
Samuel Lipping, Konstantinos Drossos, Tuomas Virtanen

Neural audio captioning based on conditional sequence-to-sequence model
Shota Ikawa, Kunio Kashino

Sound source detection, localization and classification using consecutive ensemble of CRNN models
Sławomir Kapka, Mateusz Lewandowski

Localization, detection and tracking of multiple moving sound sources with a convolutional recurrent neural network
Sharath Adavanne, Archontis Politis, Tuomas Virtanen

Sound event localization and detection using CRNN on pairs of microphones
Francois Grondin, Iwona Sobieraj, Mark D. Plumbley, James Glass

First order ambisonics domain spatial augmentation for DNN-based direction of arrival estimation
Luca Mazzon, Yuma Koizumi, Masahiro Yasuda, Noboru Harada