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Chapitres
    • Detect What You Want: Target Sound Detection
    • A Mixed Supervised Learning Framework for Target Sound Detection
    • Few-shot bioacoustic event detection
    • Leveraging Label Hierarchies for Few-shot Everyday Sound Recognition
    • Polyphonic sound event detection for highly dense birdsong scenes
    • DG-MIX: DOMAIN GENERALIZATION FOR ANOMALOUS SOUND DETECTION BASED ON SELF-SUPERVISED LEARNING
    • Improving Natural-Language-based Audio Retrieval with Transfer Learning and Audio & ...

    Poster spotlights 1 - DCASE2022 Workshop

    3 novembre 2022
    Durée : 00:29:50
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    DCASE2022 Workshop
    Workshop on Detection and Classification of Acoustic Scenes and Events

    Poster spotlights 1

    A Mixed Supervised Learning Framework for Target Sound Detection1
    Dongchao Yang, Helin Wang, Wenwu Wang, Yuexian Zou

    Detect What You Want: Target Sound Detection
    Dongchao Yang, Helin Wang, Yuexian Zou, Fan Cui, Yujun Wang

    Few-shot bioacoustic event detection at the DCASE 2022 challenge*
    Ines Nolasco, Dan Stowell, Vincent Lostanlen, Shubhr Singh, Veronica Morfi, Ari Strandburg-Peshkin, Lisa Gill, Emily Grout, Ester Vidana-Villa, Joe Morford, Michael Emmerson, Frants Jensen, Helen Whitehead, Hanna Pamula, Ivan Kiskin

    Leveraging Label Hierarchies for Few-shot Everyday Sound Recognition
    Jinhua Liang, Huy Phan, Emmanouil Benetos

    Polyphonic sound event detection for highly dense birdsong scenes
    Alberto Garcia Arroba Parrilla, Dan Stowell

    DG-MIX: DOMAIN GENERALIZATION FOR ANOMALOUS SOUND DETECTION BASED ON SELF-SUPERVISED LEARNING
    Ismail Nejjar, Jean Meunier-Pion, Gaëtan Frusque, Olga Fink

    Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Temporal Modulation Features on Gammatone Auditory Filterbank
    Li Kai, Quoc-Huy Nguyen, Yasuji Ota, Masashi Unoki

    Improving Natural-Language-based Audio Retrieval with Transfer Learning and Audio & Text Augmentations
    Paul Primus, Gerhard Widmer

    ...............................................................................................................................................................................

    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.

     Informations