Table of Contents

• Urban Noise Monitoring in the Stadtlärm Project - A Field ReportJakob Abeßer, Marco Götze, Tobias Clauß, Dominik Zapf, Christian Kühn 0002, Hanna M. Lukashevich, Stephanie Kühnlenz, Stylianos I. Mimilakis. 1-4 [doi]
• Urban Sound Tagging using Convolutional Neural NetworksSainath Adapa. 5-9 [doi]
• A Multi-room Reverberant Dataset for Sound Event Localization and DetectionSharath Adavanne, Archontis Politis, Tuomas Virtanen. 10-14 [doi]
• Sound Event Classification and Detection with Weakly Labeled DataSharath Adavanne, Haytham M. Fayek, Vladimir Tourbabin. 15-19 [doi]
• Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural NetworkSharath Adavanne, Archontis Politis, Tuomas Virtanen. 20-24 [doi]
• DCASE 2019 Task 2: Multitask Learning, Semi-supervised Learning and Model Ensemble with Noisy Data for Audio TaggingOsamu Akiyama, Junya Sato. 25-29 [doi]
• Polyphonic Sound Event Detection and Localization using a Two-Stage StrategyYin Cao, Qiuqiang Kong, Turab Iqbal, Fengyan An, Wenwu Wang, Mark D. Plumbley. 30-34 [doi]
• SONYC Urban Sound Tagging (SONYC-UST): A Multilabel Dataset from an Urban Acoustic Sensor NetworkMark Cartwright, Ana Elisa Méndez Méndez, Jason Cramer, Vincent Lostanlen, Graham Dove, Ho-Hsiang Wu, Justin Salamon, Oded Nov, Juan Pablo Bello. 35-39 [doi]
• Non-Negative Matrix Factorization-Convolutional Neural Network (NMF-CNN) for Sound Event DetectionTeck Kai Chan, Cheng Siong Chin, Ye Li 0014. 40-44 [doi]
• Acoustic Scene Classification Based on a Large-margin Factorized CNNJanghoon Cho, Sungrack Yun, Hyoungwoo Park, Jungyun Eum, Kyuwoong Hwang. 45-49 [doi]
• Hierarchical Detection of Sound Events and their Localization Using Convolutional Neural Networks with Adaptive ThresholdsSotirios Panagiotis Chytas, Gerasimos Potamianos. 50-54 [doi]
• GCC-PHAT Cross-Correlation Audio Features for Simultaneous Sound Event Localization and Detection (SELD) on Multiple RoomsHéctor A. Cordourier, Paulo Lopez-Meyer, Jonathan Huang, Juan A. del Hoyo Ontiveros, Hong Lu 0006. 55-58 [doi]
• Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled SamplingKonstantinos Drossos, Shayan Gharib, Paul Magron, Tuomas Virtanen. 59-63 [doi]
• Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal SupervisionJanek Ebbers, Reinhold Häb-Umbach. 64-68 [doi]
• Audio Tagging with Noisy Labels and Minimal SupervisionEduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra. 69-73 [doi]
• Robust Non-negative Block Sparse Coding for Acoustic Novelty DetectionRitwik Giri, Arvindh Krishnaswamy, Karim Helwani. 74-78 [doi]
• Sound Source Localisation in Ambisonic Audio Using Peak ClusteringMarc C. Green, Damian T. Murphy. 79-83 [doi]
• Sound Event Localization and Detection Using CRNN on Pairs of MicrophonesFrançois Grondin, Iwona Sobieraj, Mark D. Plumbley, James R. Glass. 84-88 [doi]
• Multiple Neural Networks with Ensemble Method for Audio Tagging with Noisy Labels and Minimal SupervisionKexin He, Yuhan Shen, Wei-Qiang Zhang 0001. 89-93 [doi]
• Acoustic Scene Classification Using Deep Learning-based Ensemble AveragingJonathan Huang, Hong Lu 0006, Paulo Lopez-Meyer, Héctor A. Cordourier, Juan A. del Hoyo Ontiveros. 94-98 [doi]
• Neural Audio Captioning Based on Conditional Sequence-to-Sequence ModelShota Ikawa, Kunio Kashino. 99-103 [doi]
• RU Multichannel Domestic Acoustic Scenes 2019: A Multichannel Dataset Recorded by Distributed Microphones with Various PropertiesKeisuke Imoto, Nobutaka Ono. 104-108 [doi]
• Shuffling and Mixing Data Augmentation for Environmental Sound ClassificationTadanobu Inoue, Phongtharin Vinayavekhin, Shiqiang Wang 0001, David Wood, Asim Munawar, Bong-Jun Ko, Nancy Greco, Ryuki Tachibana. 109-113 [doi]
• Distilling the Knowledge of Specialist Deep Neural Networks in Acoustic Scene ClassificationJee-weon Jung, Heesoo Heo, Hye-jin Shim, Ha-Jin Yu. 114-118 [doi]
• Sound Source Detection, Localization and Classification using Consecutive Ensemble of CRNN ModelsSlawomir Kapka, Mateusz Lewandowski. 119-123 [doi]
• Receptive-Field-Regularized CNN Variants for Acoustic Scene ClassificationKhaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer. 124-128 [doi]
• SpecAugment for Sound Event Detection in Domestic Environments using Ensemble of Convolutional Recurrent Neural NetworksWootaek Lim. 129-133 [doi]
• Guided Learning Convolution System for DCASE 2019 Task 4Liwei Lin, Xiangdong Wang, Hong Liu 0007, Yueliang Qian. 134-138 [doi]
• Crowdsourcing a Dataset of Audio CaptionsSamuel Lipping, Konstantinos Drossos, Tuomas Virtanen. 139-143 [doi]
• Long-distance Detection of Bioacoustic Events with Per-channel Energy NormalizationVincent Lostanlen, Kaitlin Palmer, Elly Knight, Christopher W. Clark, Holger Klinck, Andrew Farnsworth, Tina Wong, Jason Cramer, Juan Pablo Bello. 144-148 [doi]
• Acoustic Scene Classification from Binaural Signals using Convolutional Neural NetworksRohith Mars, Pranay Pratik, Srikanth Nagisetty, Chongsoon Lim. 149-153 [doi]
• First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival EstimationLuca Mazzon, Yuma Koizumi, Masahiro Yasuda, Noboru Harada. 154-158 [doi]
• The Impact of Missing Labels and Overlapping Sound Events on Multi-label Multi-instance Learning for Sound Event ClassificationMaarten Meire, Peter Karsmakers, Lode Vuegen. 159-163 [doi]
• Acoustic Scene Classification in DCASE 2019 Challenge: Closed and Open Set Classification and Data Mismatch SetupsAnnamaria Mesaros, Toni Heittola, Tuomas Virtanen. 164-168 [doi]
• OtoMechanic: Auditory Automobile Diagnostics via Query-by-ExampleMax Morrison, Bryan Pardo. 169-173 [doi]
• Onsets, Activity, and Events: A Multi-task Approach for Polyphonic Sound Event ModellingArjun Pankajakshan, Helen L. Bear, Emmanouil Benetos. 174-178 [doi]
• TrellisNet-Based Architecture for Sound Event Localization and Detection with Reassembly LearningSooyoung Park. 179-183 [doi]
• Weakly Labeled Sound Event Detection using Tri-training and Adversarial LearningHyoungwoo Park, Sungrack Yun, Jungyun Eum, Janghoon Cho, Kyuwoong Hwang. 184-188 [doi]
• A Hybrid Parametric-Deep Learning Approach for Sound Event Localization and DetectionAndres Perez-Lopez, Eduardo Fonseca, Xavier Serra. 189-193 [doi]
• Classifying Non-speech Vocals: Deep vs Signal Processing RepresentationsFatemeh Pishdadian, Prem Seetharaman, Bongjun Kim, Bryan Pardo. 194-198 [doi]
• Sound Event Localization and Detection using CRNN Architecture with Mixup for Model GeneralizationPranay Pratik, Wen Jie Jee, Srikanth Nagisetty, Rohith Mars, Chongsoon Lim. 199-203 [doi]
• Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene ClassificationPaul Primus, Hamid Eghbal-zadeh, David Eitelsebner, Khaled Koutini, Andreas Arzt, Gerhard Widmer. 204-208 [doi]
• MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and InspectionHarsh Purohit, Ryo Tanabe, Takeshi Ichige, Takashi Endo, Yuki Nikaido, Kaori Suefusa, Yohei Kawaguchi. 209-213 [doi]
• Sound Event Detection and Direction of Arrival Estimation using Residual Net and Recurrent Neural NetworksRishabh Ranjan, Sathish Jayabalan, Thi Ngoc Tho Nguyen, Woon-Seng Gan. 214-218 [doi]
• Open-set Evolving Acoustic Scene Classification SystemFatemeh Saki, Yinyi Guo, Cheng-Yu Hung, Lae-Hoon Kim, Manyu Deshpande, Sunkuk Moon, Eunjeong Koh, Erik Visser. 219-223 [doi]
• HODGEPODGE: Sound Event Detection Based on Ensemble of Semi-Supervised Learning MethodsZiqiang Shi, Liu Liu, Huibin Lin, Rujie Liu, Anyan Shi. 224-228 [doi]
• Deep Multi-view Features from Raw Audio for Acoustic Scene ClassificationArshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar. 229-233 [doi]
• Audio Tagging using Linear Noise Modelling LayerShubhr Singh, Arjun Pankajakshan, Emmanouil Benetos. 234-238 [doi]
• Robustness of Adversarial Attacks in Sound Event ClassificationVinod Subramanian, Emmanouil Benetos, Mark B. Sandler. 239-243 [doi]
• Improvement of DOA Estimation by using Quaternion Output in Sound Event Localization and DetectionYui Sudo, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai. 244-247 [doi]
• Hierarchical Sound Event ClassificationEric Nichols, Daniel Tompkins, Jianyu Fan. 248-252 [doi]
• Sound Event Detection in Domestic Environments with Weakly Labeled Data and Soundscape SynthesisNicolas Turpault, Romain Serizel, Justin Salamon, Ankit Parag Shah. 253-257 [doi]
• Open-Set Acoustic Scene Classification with Deep Convolutional AutoencodersKevin Wilkinghoff, Frank Kurth. 258-262 [doi]
• MAVD: A Dataset for Sound Event Detection in Urban EnvironmentsPablo Zinemanas, Pablo Cancela, Martín Rocamora. 263-267 [doi]