Poster Session

Poster Session

 

1. A CRNN-GRU based reinforcement learning approach to audio captioning
Xuenan Xu, Heinrich Dinkel, Mengyue Wu, Kai Yu

2. A dataset of reverberant spatial sound scenes with moving sources for sound event localization and detection
Archontis Politis, Sharath Adavanne, Tuomas Virtanen

3. A speaker recognition approach to anomaly detection
Jose A Lopez, Hong Lu, Paulo Lopez-Meyer, Lama Nachman, Georg Stemmer, Jonathan Huang

4. Acoustic scene classification in DCASE 2020 Challenge: Generalization across devices and low complexity solutions
Toni Heittola, Annamaria Mesaros, Tuomas Virtanen

5. Anomalous sound detection using unsupervised and semi-supervised autoencoders and gammatone audio representation
Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello, Maximo Cobos

6. Audio captioning based on Transformer and pre-trained CNN
Kun Chen, Yusong Wu, Ziyue Wang, Xuan Zhang, Fudong Nian, Shengchen Li, Xi Shao

7. Audio tag representation guided dual attention network for acoustic scene classification
Ju-ho Kim, Jee-weon Jung, Hye-jin Shim, Ha-jin Yu

8. DCASE 2020 task2: Anomalous sound detection using relevant spectral feature and focusing techniques in the unsupervised learning scenario
Jihwan Park, Sooyeon Yoo

9. DCASE-Models: A python library for computational environmental sound analysis using deep–learning models
Pablo Zinemanas, Ignacio Hounie, Pablo Cancela, Frederic Font, Martín Rocamora, Xavier Serra

10. Deep autoencoding GMM-Based unsupervised anomaly detection in acoustic signals and its hyper-parameter optimization
Harsh Purohit, Ryo Tanabe, Takashi Endo, Kaori Suefusa, Yuki Nikaido, Yohei Kawaguchi

11. Description and discussion on DCASE2020 Challenge Task2: Unsupervised anomalous sound detection for machine condition monitoring
Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, Noboru Harada

12. Domain-adversarial training and trainable parallel front-end for the DCASE 2020 Task 4 sound event detection challenge
Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini

13. Embedded acoustic scene classification for low power microcontroller devices
Filippo Naccari, Ivana Guarneri, Salvatore Curti, Alberto Amilcare Savi

14. Ensemble of pruned low-complexity models for acoustic scene classification
Kenneth Ooi, Santi Peksi, Woon-Seng Gan

15. Evaluation metric of sound event detection considering severe misdetections by scenes
Noriyuki Tonami, Keisuke Imoto, Takahiro Fukumori, Yoichi Yamashita

16. Forward-backward convolutional recurrent neural networks and tag-conditioned convolutional neural networks for weakly labeled semi-supervised sound event detection
Janek Ebbers, Reinhold Haeb-Umbach

17. Improving sound event detection in domestic environments using sound separation
Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon

18. Joint training of guided learning and mean teacher models for sound event detection
Hao Yen, Pin-Jui Ku, Ming-Chi Yen, Hung-Shin Lee, Hsin-Min Wang

19. Lightweight convolutional neural networks on binaural waveforms for low complexity acoustic scene classification
Nicolas Pajusco, Richard Huang, Nicolas Farrugia

20. Listen carefully and tell: An audio captioning system based on residual learning and gammatone audio representation
Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello, Maximo Cobos

21. Microphone array optimization for autonomous-vehicle audio localization based on the radon transform
Ohad Barak, Nizar Sallem, Marc Fischer

22. Model selection for deep audio source separation via clustering analysis
Alisa Liu, Prem Seetharaman, Bryan Pardo

23. Open-window: A sound event dataset for window state detection and recognition
Saeid Safavi, Turab Iqbal, Wenwu Wang, Philip Coleman, Mark D. Plumbley

24. PAPAFIL: A low complexity sound event localization and detection method with parametric particle filtering and gradient boosting
Andrés Pérez-López, Rafael Ibáñez-Usach

25. RWCP-SSD-Onomatopoeia: Onomatopoeic word dataset for environmental sound synthesis
Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita

26. Self-supervised classification for detecting anomalous sounds
Ritwik Giri, Srikanth V. Tenneti, Fangzhou Cheng, Karim Helwani, Umut Isik, Arvindh Krishnaswamy

27. SONYC-UST-V2: An urban sound tagging dataset with spatiotemporal context
Mark Cartwright, Jason Cramer, Ana Elisa Mendez Mendez, Yu Wang, Ho-Hsiang Wu, Vincent Lostanlen, Magdalena Fuentes, Graham Dove, Charlie Mydlarz, Justin Salamon, Oded Nov, Juan Pablo Bello

28. Sound event localization and detection based on CRNN using rectangular filters and channel rotation data augmentation
Francesca Ronchini, Daniel Arteaga, Andrés Pérez-López

29. Task-aware separation for the DCASE 2020 Task 4 sound event detection and separation challenge
Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini

30. Two-stage domain adaptation for sound event detection
Liping Yang, Junyong Hao, Zhenwei Hou, Wang Peng

31. Using look, listen, and learn embeddings for detecting anomalous sounds in machine condition monitoring
Kevin Wilkinghoff