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  • Feature Selection using Alternating Direction Method of Multiplier for Low-Complexity Acoustic...
  • Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline systems
  • Quantity Over Quality? Investigating The Effects of Volume and Strength of Training Data...
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  • EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope Alaska
  • CoLoC: Conditioned Localizer and Classifier for Sound Event Localization and Detection
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Creative Commons license Poster spotlights 3 - DCASE2022 Workshop

Nov. 3, 2022
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DCASE2022 Workshop
Workshop on Detection and Classification of Acoustic Scenes and Events

Poster spotlights 3

MULTI-SCALE ARCHITECTURE AND DEVICE-AWARE DATA-RANDOM-DROP BASED FINE-TUNING METHOD FOR ACOUSTIC SCENE CLASSIFICATION
Joo-Hyun Lee, Jeong-Hwan Choi, Pil Moo Byun, Joon-Hyuk Chang

Feature Selection using Alternating Direction Method of Multiplier for Low-Complexity Acoustic Scene Classification
Lorenz Schmidt, Beran Kiliç, Nils G. Peters

Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline systems
Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Dan Ellis

Integrating Isolated examples with weakly-supervised sound event detection: A direct approach
Mohammad Abdollahi, Romain Serizel, Alain Rakotomamonjy, Gilles Gasso

Quantity Over Quality? Investigating The Effects of Volume and Strength of Training Data in Marine Bioacoustics
Andrea Napoli, Paul White, Thomas Blumensath

SEGMENT-LEVEL METRIC LEARNING FOR FEW-SHOT BIOACOUSTIC EVENT DETECTION
Haohe Liu, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley

EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope Alaska
Enis Berk Çoban, Megan Perra, Dara Pir, Michael I. Mandel

CoLoC: Conditioned Localizer and Classifier for Sound Event Localization and Detection
Sławomir Kapka, Jakub Tkaczuk

Improved domain generalization via disentangled multi-task learning in unsupervised anomalous sound detection
Satvik Venkatesh, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan LeRoux

Is my automatic audio captioning system so bad? SPIDEr-max: a metric to consider several caption candidates
Etienne Labbé, Thomas Pellegrini, Julien Pinquier

Matching Text and Audio Embeddings: Exploring Transfer-learning Strategies for Language-based Audio Retrieval
Benno Weck, Miguel Perez Fernandez, Holger Kirchhoff, Xavier Serra

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The workshop aims to provide a venue for researchers working on computational analysis of sound events and scene analysis to present and discuss their results.

The 7th Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2022, will be held in Nancy on November 3-4. The event will be held in presence with oral talks being broadcasted.

As in previous years the workshop is organized in conjunction with the DCASE challenge. We aim to bring together researchers from many different universities and companies with an interest in the topic, and provide the opportunity for scientific exchange of ideas and opinions.

The technical program will include invited speakers on the topic of computational everyday sound analysis and recognition, and oral and poster presentations of accepted papers. Additionally, a special poster session will be dedicated to the DCASE 2022 challenge entries and results.

 Infos