Poster Session II

1. Onsets, activity, and events: A multi-task approach for polyphonic sound event modelling
Arjun Pankajakshan, Helen L Bear, Emmanouil Benetos

2. Shuffling and mixing data augmentation for environmental sound classification
Tadanobu Inoue, Phongtharin Vinayavekhin, Shiqiang Wang, David Wood, Asim Munawar, Bong Jun Ko, Nancy Greco, Ryuki Tachibana

3. Sound event detection and direction of arrival estimation using residual net and recurrent neural networks
Rishabh Ranjan, Sathish Jayabalan, Thi Ngoc Tho Nguyen, Woon Seng Gan

4. RU Multichannel Domestic Acoustic Scenes 2019: A multichannel dataset recorded by distributed microphones with various properties
Keisuke Imoto, Nobutaka Ono

5. Hodgepodge: Sound event detection based on ensemble of semi-supervised learning methods
Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu, Anyan Shi

6. Non-negative matrix factorization-convolutional neural network (NMF-CNN) for sound event detection
Chan Teck Kai, Chan Teck Kai, Chin Cheng Siong, Li Ye

7. Open-set evolving acoustic scene classification system
Fatemeh Saki, Yinyi Guo , Cheng-Yu Hung , Lae-Hoon Kim, Manyu Deshpande, Sunkuk Moon, Eunjeong Koh, Erik Visser

8. MAVD: a dataset for sound event detection in urban environments
Pablo Zinemanas, Pablo Cancela, Martín Rocamora

9. Receptive-field-regularized cnn variants for acoustic scene classification
Khaled Koutini, Hamid Eghbal-Zadeh, Gerhard Widmer

10. DCASE 2019 task 2: Multitask learning, semi-supervised learning and model ensemble with noisy data for audio tagging
Osamu Akiyama, Junya Sato

11. A hybrid parametric-deep learning approach for sound event localization and detection
Andres Perez-Lopez, Eduardo Fonseca, Xavier Serra

12. OtoMechanic: Auditory automobile diagnostics via query-by-example
Max Morrison, Bryan Pardo

13. Hierarchical sound event classification
Eric Nichols, Daniel Tompkins, Jianyu Fan

14. TrellisNet-based architecture for sound event localization and detection with reassembly learning
Sooyoung Park

15. Weakly labeled sound event detection using tri-training and adversarial learning
Hyoungwoo Park, Sungrack Yun, Jungyun Eum, Janghoon Cho, Kyuwoong Hwang

16. Acoustic scene classification from binaural signals using convolutional neural networks
Rohith Mars, Pranay Pratik, Srikanth Nagisetty, Chongsoon Lim

Challenge Task Reports

17. Acoustic scene classification in DCASE 2019 challenge: Closed and open set classification and data mismatch setups
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen

18. Audio tagging with noisy labels and minimal supervision
Eduardo Fonseca, Manoj Plakal, Frederic Font, Dan Ellis, Xavier Serra

19. A multi-room reverberant dataset for sound event localization and detection
Sharath Adavanne, Archontis Politis, Tuomas Virtanen

20. Sound event detection in domestic environments with weakly labeled data and soundscape synthesis
Nicolas Turpault, Romain Serizel, Justin Salamon, Ankit Parag Shah

21. SONYC Urban Sound Tagging (SONYC-UST): A multilabel dataset from an urban acoustic sensor network
Mark Cartwright, Ana Elisa Mendez Mendez, Jason Cramer, Vincent Lostanlen, Graham Dove, Ho-Hsiang Wu, Justin Salamon, Oded Nov, Juan P Bello