Table of Contents

• Convolutional Neural Network for Audibility Assessment of Acoustic AlarmsFrançois Effa, Romain Serizel, Jean-Pierre Arz, Nicolas Grimault. [doi]
• DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised LearningIsmail Nejjar, Jean Meunier-Pion, Gaëtan Frusque, Olga Fink. [doi]
• MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Ggeneralization TaskKota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, Yohei Kawaguchi. [doi]
• Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation ChainsJinbo Hu, Yin Cao, Ming Wu 0005, Qiuqiang Kong, Feiran Yang, Mark D. Plumbley, Jun Yang 0004. [doi]
• Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical NetworksJohn Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten. [doi]
• Sound Event Localization and Detection with Pre-Trained Audio Spectrogram Transformer and Multichannel Seperation NetworkRobin Scheibler, Tatsuya Komatsu, Yusuke Fujita, Michael Hentschel. [doi]
• Leveraging Label Hierachies for Few-Shot Everyday Sound RecognitionJinhua Liang, Huy Phan, Emmanouil Benetos. [doi]
• Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline SystemFrancesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis. [doi]
• Explaining the Decision of Anomalous Sound DetectorsKimberly T. Mai, Toby Davies, Lewis D. Griffin, Emmanouil Benetos. [doi]
• Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Temporal Modulation Features on Gammatone Auditory FilterbankKai Li 0018, Quoc Huy Nguyen, Yasuji Ota, Masashi Unoki. [doi]
• Confidence Regularized Entropy for Polyphonic Sound Event DetectionWon-Gook Choi, Joon-Hyuk Chang. [doi]
• A Summarization Approach to Evaluating Audio CaptioningIrene Martín-Morató, Manu Harju, Annamaria Mesaros. [doi]
• Multi-Scale Architecture and Device-Aware Data-Random-Drop Based Fine-Tuning Method for Acoustic Scene ClassificationJoo Hyun Lee, Jeong Hwan Choi, Pil Moo Byun, Joon-Hyuk Chang. [doi]
• Exploring Eco-Acoustic Data with K-Determinantal Point ProcessesMohamed Outidrarine, Pierre Baudet, Vincent Lostanlen, Mathieu Lagrange, Juan Sebastian Ulloa. [doi]
• Is my Automatic Audio Captioning System so Bad? SPIDEr-max: A Metric to Consider Several Caption CandidatesEtienne Labbé, Thomas Pellegrini, Julien Pinquier. [doi]
• A Hybrid System of Sound Event Detection Transformer and Frame-Wise Model for DCASE 2022 Task 4Yiming Li, Zhifang Guo, Zhirong Ye, Xiangdong Wang, Hong Liu 0007, Yueliang Qian, Rui Tao, Long Yan, Kazushige Ouchi. [doi]
• Few-Shot Bioacoustic Event Detection: Enhanced Classifiers for Prototypical NetworksRen Li, Jinhua Liang, Huy Phan. [doi]
• Low-Complexity Acoustic Scene Classification in DCASE 2022 ChallengeIrene Martín-Morató, Francesco Paissan, Alberto Ancilotto, Toni Heittola, Annamaria Mesaros, Elisabetta Farella, Alessio Brutti, Tuomas Virtanen. [doi]
• STARSS22: A Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound EventsArchontis Politis, Kazuki Shimada, Parthasaarathy Sudarsanam, Sharath Adavanne, Daniel Krause 0001, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji, Tuomas Virtanen. [doi]
• Detect What You Want: Target Sound DetectionHelin Wang, Dongchao Yang, Yuexian Zou, Fan Cui, Yujun Wang. [doi]
• Analyzing the Effect of Equal-Angle Spatial Discretization on Sound Event Localization and DetectionSaksham Singh Kushwaha, Irán R. Román, Juan Pablo Bello. [doi]
• Quantity Over Quality? Investigating the Effects of Volume and Strength of Training Data in Marine BioacousticsAndrea Napoli, Paul R. White, Thomas Blumensath. [doi]
• Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization TechniquesKota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi. [doi]
• Language-Based Audio Retrieval with Textual Embeddings of Tag NamesThomas Pellegrini. [doi]
• EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope AlaskaEnis Berk Çoban, Megan Perra, Dara Pir, Michael I. Mandel. [doi]
• Continual Learning for On-Ddevice Environmental Sound ClassificationYang Xiao, Xubo Liu, James A. King, Arshdeep Singh, Eng Siong Chng, Mark D. Plumbley, Wenwu Wang. [doi]
• Ensemble of Multiple Anomalous Sound DetectorsYuFeng Deng, Anbai Jiang, Yuchen Duan, Jitao Ma, Xuchu Chen, Jia Liu, Pingyi Fan, Cheng Lu, Wei-Qiang Zhang. [doi]
• Polyphonic Sound Event Detection for Highly Dense Birdsong ScenesAlberto García Arroba Parrilla, Dan Stowell. [doi]
• CoLoC: Conditioned Localizer and Classifier for Sound Event Localization and DetectionSlawomir Kapka, Jakub Tkaczuk. [doi]
• Model Training that Prioritizes Rare Overlapped Labels for Polyphonic Sound Event DetectionRie Koga, Sawa Takamuku, Keisuke Imoto, Naotake Natori. [doi]
• Improving Natural-Language-Based Audio Retrieval with Transfer Learning and Audio & Text AugmentationsPaul Primus, Gerhard Widmer. [doi]
• A Device Classification-Aided Multi-Task Framework for Low-Complexity Acoustic Scene ClassificationRohith Mars, Rohan Kumar Das. [doi]
• Low-Complexity CNNs for Acoustic Scene ClassificationArshdeep Singh, Mark D. Plumbley. [doi]
• Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct ApproachMohammad Abdollahi, Romain Serizel, Alain Rakotomamonjy, Gilles Gasso. [doi]
• Improved Domain Generalization via Disentangled Multi-Task Learning in Unsupervised Anomalous Sound DetectionSatvik Venkatesh, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux. [doi]
• Language-Based Audio Retrieval Task in DCASE 2022 ChallengeHuang Xie, Samuel Lipping, Tuomas Virtanen. [doi]
• Latent and Adversarial Data Augmentations for Sound Event Detection and ClassificationDavid Perera, Slim Essid, Gaël Richard. [doi]
• Matching Text and Audio Embeddings: Exploring Transfer-Learning Strategies for Language-Based Audio RetrievalBenno Weck, Miguel Pérez Fernández, Holger Kirchhoff, Xavier Serra. [doi]
• Few-Shot Bioacoustic Event Detection at the DCASE 2022 ChallengeInês Nolasco, Shubhr Singh, E. Vidaña-Villa, E. Grout, J. Morford, M. G. Emmerson, F. H. Jensen, Ivan Kiskin, H. Whitehead, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, Vincent Lostanlen, Veronica Morfi, Dan Stowell. [doi]
• A Mixed Supervised Learning Framework For Target Sound DetectionDongchao Yang, Helin Wang, Wenwu Wang, Yuexian Zou. [doi]
• Detection and Identification of Beehive Piping Audio SignalsDominique Fourer, Agnieszka Orlowska. [doi]
• Impact of Temporal Resolution on Convolutional Recurrent Networks for Audio Tagging and Sound Event DetectionWim Boes, Hugo Van Hamme. [doi]
• Feature Selection Using Alternating Direction Method of Multiplier for Low-Complexity Acoustic Scene ClassificationLorenz P. Schmidt, Beran Kiliç, Nils Peters. [doi]
• Segment-Level Metric Learning for Few-Shot Bioacoustic Event DetectionHaohe Liu, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley. [doi]
• Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene ClassificationFlorian Schmid, Shahed Masoudian, Khaled Koutini, Gerhard Widmer. [doi]