Table of Contents

• Microphone Array Optimization for Autonomous-Vehicle Audio Localization Based on the Radon TransformOhad Barak, Nizar Sallem, Marc Fischer 0005. 1-5 [doi]
• Multi-Task Regularization Based on Infrequent Classes for Audio CaptioningEmre Çakir, Konstantinos Drossos, Tuomas Virtanen. 6-10 [doi]
• Event-Independent Network for Polyphonic Sound Event Localization and DetectionYin Cao, Turab Iqbal, Qiuqiang Kong, Yue Zhong, Wenwu Wang, Mark D. Plumbley. 11-15 [doi]
• SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal ContextMark Cartwright, Jason Cramer, Ana Elisa Méndez Méndez, Yu Wang 0105, Ho-Hsiang Wu, Vincent Lostanlen, Magdalena Fuentes, Graham Dove, Charlie Mydlarz, Justin Salamon, Oded Nov, Juan Pablo Bello. 16-20 [doi]
• Audio Captioning Based on Transformer and Pre-Trained CNNKun Chen, Yusong Wu, Ziyue Wang, Xuan Zhang, Fudong Nian, Shengchen Li, Xi Shao. 21-25 [doi]
• Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection ChallengeSamuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini. 26-30 [doi]
• Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation ChallengeSamuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini. 31-35 [doi]
• A Multi-Resolution Approach to Sound Event Detection in DCASE 2020 Task4Diego de Benito-Gorrón, Daniel Ramos, Doroteo T. Toledano. 36-40 [doi]
• Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event DetectionJanek Ebbers, Reinhold Haeb-Umbach. 41-45 [doi]
• Self-Supervised Classification for Detecting Anomalous SoundsRitwik Giri, Srikanth V. Tenneti, Fangzhou Cheng, Karim Helwani, Umut Isik, Arvindh Krishnaswamy. 46-50 [doi]
• Group Masked Autoencoder Based Density Estimator for Audio Anomaly DetectionRitwik Giri, Fangzhou Cheng, Karim Helwani, Srikanth V. Tenneti, Umut Isik, Arvindh Krishnaswamy. 51-55 [doi]
• Acoustic Scene Classification in DCASE 2020 Challenge: Generalization Across Devices and Low Complexity SolutionsToni Heittola, Annamaria Mesaros, Tuomas Virtanen. 56-60 [doi]
• Guided Multi-Branch Learning Systems for Sound Event Detection with Sound SeparationYuxin Huang, Liwei Lin, Shuo Ma, Xiangdong Wang, Hong Liu 0007, Yueliang Qian, Min Liu, Kazushige Ouchi. 61-65 [doi]
• Detection of Anomalous Sounds for Machine Condition Monitoring using Classification ConfidenceTadanobu Inoue, Phongtharin Vinayavekhin, Shu Morikuni, Shiqiang Wang 0001, Tuan Hoang Trong, David Wood, Michiaki Tatsubori, Ryuki Tachibana. 66-70 [doi]
• ID-Conditioned Auto-Encoder for Unsupervised Anomaly DetectionSlawomir Kapka. 71-75 [doi]
• Audio Tag Representation Guided Dual Attention Network for Acoustic Scene ClassificationJu-ho Kim, Jee-weon Jung, Hye-jin Shim, Ha-Jin Yu. 76-80 [doi]
• Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition MonitoringYuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, Noboru Harada. 81-85 [doi]
• Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency DampingKhaled Koutini, Florian Henkel, Hamid Eghbal-zadeh, Gerhard Widmer. 86-90 [doi]
• Model Selection for Deep Audio Source Separation via Clustering AnalysisAlisa Liu, Prem Seetharaman, Bryan Pardo. 91-95 [doi]
• A Speaker Recognition Approach to Anomaly DetectionJose A. Lopez, Hong Lu 0006, Paulo Lopez-Meyer, Lama Nachman, Georg Stemmer, Jonathan Huang. 96-99 [doi]
• Conformer-Based Sound Event Detection with Semi-Supervised Learning and Data AugmentationKoichi Miyazaki, Tatsuya Komatsu, Tomoki Hayashi, Shinji Watanabe 0001, Tomoki Toda, Kazuya Takeda. 100-104 [doi]
• Embedded Acoustic Scene Classification for Low Power Microcontroller DevicesFilippo Naccari, Ivana Guarneri, Salvatore Curti, Alberto Amilcare Savi. 105-109 [doi]
• Temporal Sub-Sampling of Audio Feature Sequences for Automated Audio CaptioningKhoa Nguyen, Konstantinos Drossos, Tuomas Virtanen. 110-114 [doi]
• On the Effectiveness of Spatial and Multi-Channel Features for Multi-Channel Polyphonic Sound Event DetectionThi Ngoc Tho Nguyen, Douglas L. Jones, Woon-Seng Gan. 115-119 [doi]
• Ensemble of Sequence Matching Networks for Dynamic Sound Event Localization, Detection, and TrackingThi Ngoc Tho Nguyen, Douglas L. Jones, Woon-Seng Gan. 120-124 [doi]
• RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound SynthesisYuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita. 125-129 [doi]
• Ensemble of Pruned Low-Complexity Models for Acoustic Scene ClassificationKenneth Ooi, Santi Peksi, Woon-Seng Gan. 130-134 [doi]
• Lightweight Convolutional Neural Networks on Binaural Waveforms for Low Complexity Acoustic Scene ClassificationNicolas Pajusco, Richard Huang, Nicolas Farrugia. 135-139 [doi]
• DCASE 2020 Task2: Anomalous Sound Detection using Relevant Spectral Feature and Focusing Techniques in the Unsupervised Learning ScenarioJihwan Park, Sooyeon Yoo. 140-144 [doi]
• Anomalous Sound Detection using Unsupervised and Semi-Supervised Autoencoders and Gammatone Audio RepresentationSergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello, Maximo Cobos. 145-149 [doi]
• Listen Carefully and Tell: An Audio Captioning System Based on Residual Learning and Gammatone Audio RepresentationSergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello, Maximo Cobos. 150-154 [doi]
• Papafil: A Low Complexity Sound Event Localization and Detection Method with Parametric Particle Filtering and Gradient BoostingAndrés Pérez-López, Rafael Ibáñez-Usach. 155-159 [doi]
• On Multitask Loss Function for Audio Event Detection and LocalizationHuy Phan, Lam Pham, Philipp Koch, Ngoc Q. K. Duong, Ian McLoughlin 0001, Alfred Mertins. 160-164 [doi]
• A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and DetectionArchontis Politis, Sharath Adavanne, Tuomas Virtanen. 165-169 [doi]
• Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier ExamplesPaul Primus, Verena Haunschmid, Patrick Praher, Gerhard Widmer. 170-174 [doi]
• Deep Autoencoding GMM-Based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-Parameter OptimizationHarsh Purohit, Ryo Tanabe, Takashi Endo, Kaori Suefusa, Yuki Nikaido, Yohei Kawaguchi. 175-179 [doi]
• Sound Event Localization and Detection Based on CRNN using Rectangular Filters and Channel Rotation Data AugmentationFrancesca Ronchini, Daniel Arteaga, Andrés Pérez-López. 180-184 [doi]
• Open-Window: A Sound Event Dataset for Window State Detection and RecognitionSaeid Safavi 0001, Turab Iqbal, Wenwu Wang, Philip Coleman, Mark D. Plumbley. 185-189 [doi]
• Effects of Word-Frequency Based Pre- and Post- Processings for Audio CaptioningDaiki Takeuchi, Yuma Koizumi, Yasunori Ohishi, Noboru Harada, Kunio Kashino. 190-194 [doi]
• Evaluation Metric of Sound Event Detection Considering Severe Misdetection by ScenesNoriyuki Tonami, Keisuke Imoto, Takahiro Fukumori, Yoichi Yamashita. 195-199 [doi]
• Training Sound Event Detection on a Heterogeneous DatasetNicolas Turpault, Romain Serizel. 200-204 [doi]
• Improving Sound Event Detection in Domestic Environments using Sound SeparationNicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon. 205-209 [doi]
• Acoustic Scene Classification with Spectrogram Processing StrategiesHelin Wang, Yuexian Zou, Dading Chong. 210-214 [doi]
• Using Look, Listen, and Learn Embeddings for Detecting Anomalous Sounds in Machine Condition MonitoringKevin Wilkinghoff. 215-219 [doi]
• Searching for Efficient Network Architectures for Acoustic Scene ClassificationYuzhong Wu, Tan Lee. 220-224 [doi]
• A CRNN-GRU Based Reinforcement Learning Approach to Audio CaptioningXuenan Xu, Heinrich Dinkel, Mengyue Wu, Kai Yu 0004. 225-229 [doi]
• Two-Stage Domain Adaptation for Sound Event DetectionLiping Yang, Junyong Hao, Zhenwei Hou, Wang Peng. 230-234 [doi]
• Joint Training of Guided Learning and Mean Teacher Models for Sound Event DetectionHao Yen, Pin-Jui Ku, Ming-Chi Yen, Hung-Shin Lee, Hsin-Min Wang. 235-239 [doi]
• DCASE-Models: A Python Library for Computational Environmental Sound Analysis using Deep-Learning ModelsPablo Zinemanas, Ignacio Hounie, Pablo Cancela, Frederic Font, Martín Rocamora, Xavier Serra. 240-244 [doi]