DCASE

Publications

2022

Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis
Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System. DCASE (2022)
Kota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, Yohei Kawaguchi
MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Ggeneralization Task. DCASE (2022)
Archontis Politis, Kazuki Shimada, Parthasaarathy Sudarsanam, Sharath Adavanne, Daniel Krause, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji, Tuomas Virtanen
STARSS22: A Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. DCASE (2022)
Jinbo Hu, Yin Cao, Ming Wu, Qiuqiang Kong, Feiran Yang, Mark D. Plumbley, Jun Yang
Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains. DCASE (2022)
John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten
Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks. DCASE (2022)
Benno Weck, Miguel Pérez Fernández, Holger Kirchhoff, Xavier Serra
Matching Text and Audio Embeddings: Exploring Transfer-Learning Strategies for Language-Based Audio Retrieval. DCASE (2022)
Rie Koga, Sawa Takamuku, Keisuke Imoto, Naotake Natori
Model Training that Prioritizes Rare Overlapped Labels for Polyphonic Sound Event Detection. DCASE (2022)
Wim Boes, Hugo Van hamme
Impact of Temporal Resolution on Convolutional Recurrent Networks for Audio Tagging and Sound Event Detection. DCASE (2022)
Yiming Li, Zhifang Guo, Zhirong Ye, Xiangdong Wang, Hong Liu, Yueliang Qian, Rui Tao, Long Yan, Kazushige Ouchi
A Hybrid System of Sound Event Detection Transformer and Frame-Wise Model for DCASE 2022 Task 4. DCASE (2022)
Yufeng Deng, Anbai Jiang, Yuchen Duan, Jitao Ma, Xuchu Chen, Jia Liu, Pingyi Fan, Cheng Lu, Wei-Qiang Zhang
Ensemble of Multiple Anomalous Sound Detectors. DCASE (2022)
Lorenz P. Schmidt, Beran Kiliç, Nils Peters
Feature Selection Using Alternating Direction Method of Multiplier for Low-Complexity Acoustic Scene Classification. DCASE (2022)
Won-Gook Choi, Joon-Hyuk Chang
Confidence Regularized Entropy for Polyphonic Sound Event Detection. DCASE (2022)
Joo-Hyun Lee, Jeong-Hwan Choi, Pil Moo Byun, Joon-Hyuk Chang
Multi-Scale Architecture and Device-Aware Data-Random-Drop Based Fine-Tuning Method for Acoustic Scene Classification. DCASE (2022)
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, DCASE 2022, Nancy, France, November 3-4, 2022 DCASE (2022)
Helin Wang, Dongchao Yang, Yuexian Zou, Fan Cui, Yujun Wang
Detect What You Want: Target Sound Detection. DCASE (2022)
David Perera, Slim Essid, Gaël Richard
Latent and Adversarial Data Augmentations for Sound Event Detection and Classification. DCASE (2022)
Saksham Singh Kushwaha, Irán R. Román, Juan Pablo Bello
Analyzing the Effect of Equal-Angle Spatial Discretization on Sound Event Localization and Detection. DCASE (2022)
Kai Li, Quoc-Huy Nguyen, Yasuji Ota, Masashi Unoki
Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Temporal Modulation Features on Gammatone Auditory Filterbank. DCASE (2022)
Andrea Napoli, Paul R. White, Thomas Blumensath
Quantity Over Quality? Investigating the Effects of Volume and Strength of Training Data in Marine Bioacoustics. DCASE (2022)
Rohith Mars, Rohan Kumar Das
A Device Classification-Aided Multi-Task Framework for Low-Complexity Acoustic Scene Classification. DCASE (2022)
Haohe Liu, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
Segment-Level Metric Learning for Few-Shot Bioacoustic Event Detection. DCASE (2022)
Arshdeep Singh, Mark D. Plumbley
Low-Complexity CNNs for Acoustic Scene Classification. DCASE (2022)
Mohammad Abdollahi, Romain Serizel, Alain Rakotomamonjy, Gilles Gasso
Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach. DCASE (2022)
Robin Scheibler, Tatsuya Komatsu, Yusuke Fujita, Michael Hentschel
Sound Event Localization and Detection with Pre-Trained Audio Spectrogram Transformer and Multichannel Seperation Network. DCASE (2022)
Ismail Nejjar, Jean Meunier-Pion, Gaëtan Frusque, Olga Fink
DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning. DCASE (2022)
Mohamed Outidrarine, Pierre Baudet, Vincent Lostanlen, Mathieu Lagrange, Juan Sebastian Ulloa
Exploring Eco-Acoustic Data with K-Determinantal Point Processes. DCASE (2022)
Dominique Fourer, Agnieszka Orlowska
Detection and Identification of Beehive Piping Audio Signals. DCASE (2022)
Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. DCASE (2022)
Irene Martín-Morató, Francesco Paissan, Alberto Ancilotto, Toni Heittola, Annamaria Mesaros, Elisabetta Farella, Alessio Brutti, Tuomas Virtanen
Low-Complexity Acoustic Scene Classification in DCASE 2022 Challenge. DCASE (2022)
Paul Primus, Gerhard Widmer
Improving Natural-Language-Based Audio Retrieval with Transfer Learning and Audio & Text Augmentations. DCASE (2022)
Alberto García Arroba Parrilla, Dan Stowell
Polyphonic Sound Event Detection for Highly Dense Birdsong Scenes. DCASE (2022)
Irene Martín-Morató, Manu Harju, Annamaria Mesaros
A Summarization Approach to Evaluating Audio Captioning. DCASE (2022)
François Effa, Romain Serizel, Jean-Pierre Arz, Nicolas Grimault
Convolutional Neural Network for Audibility Assessment of Acoustic Alarms. DCASE (2022)
Kimberly T. Mai, Toby Davies, Lewis D. Griffin, Emmanouil Benetos
Explaining the Decision of Anomalous Sound Detectors. DCASE (2022)
Etienne Labbé, Thomas Pellegrini, Julien Pinquier
Is my Automatic Audio Captioning System so Bad? SPIDEr-max: A Metric to Consider Several Caption Candidates. DCASE (2022)
Florian Schmid, Shahed Masoudian, Khaled Koutini, Gerhard Widmer
Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification. DCASE (2022)
Dongchao Yang, Helin Wang, Wenwu Wang, Yuexian Zou
A Mixed Supervised Learning Framework For Target Sound Detection. DCASE (2022)
Jinhua Liang, Huy Phan, Emmanouil Benetos
Leveraging Label Hierachies for Few-Shot Everyday Sound Recognition. DCASE (2022)
Thomas Pellegrini
Language-Based Audio Retrieval with Textual Embeddings of Tag Names. DCASE (2022)
Enis Berk Çoban, Megan Perra, Dara Pir, Michael I. Mandel
EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope Alaska. DCASE (2022)
Huang Xie, Samuel Lipping, Tuomas Virtanen
Language-Based Audio Retrieval Task in DCASE 2022 Challenge. DCASE (2022)
Yang Xiao, Xubo Liu, James A. King, Arshdeep Singh, Eng Siong Chng, Mark D. Plumbley, Wenwu Wang
Continual Learning for On-Ddevice Environmental Sound Classification. DCASE (2022)
Satvik Venkatesh, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux
Improved Domain Generalization via Disentangled Multi-Task Learning in Unsupervised Anomalous Sound Detection. DCASE (2022)
Ren Li, Jinhua Liang, Huy Phan
Few-Shot Bioacoustic Event Detection: Enhanced Classifiers for Prototypical Networks. DCASE (2022)
Inês 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
Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge. DCASE (2022)
Slawomir Kapka, Jakub Tkaczuk
CoLoC: Conditioned Localizer and Classifier for Sound Event Localization and Detection. DCASE (2022)

2021