Défiler vers le haut
Chapters
    • A DEVICE CLASSIFICATION-AIDED MULTI-TASK FRAMEWORK FOR LOW-COMPLEXITY ACOUSTIC SCENE CLASSIFICATION
    • Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification
    • SOUND EVENT LOCALIZATION AND DETECTION WITH PRE-TRAINED AUDIO SPECTROGRAM TRANSFORMER...
    • Detection and Identification of Beehive Piping Audio Signals
    • Few-shot bioacoustic event detection using an event-length adapted ensemble of prototypical networks
    • Sound event localization and detection for real spatial sound scenes: event-independent network...
    • Convolutional Neural Network for audibility assessment of acoustic alarms
    • Language-based audio retrieval with textual embeddings of tag names

    Creative Commons license Poster spotlights 4 - DCASE2022 Workshop

    Nov. 3, 2022
    Duration: 00:35:51
    Number of views 22
    Addition in a playlist 0
    Number of favorites 0

    DCASE2022 Workshop
    Workshop on Detection and Classification of Acoustic Scenes and Events

    Poster spotlights 4

    A DEVICE CLASSIFICATION-AIDED MULTI-TASK FRAMEWORK FOR LOW-COMPLEXITY ACOUSTIC SCENE CLASSIFICATION
    Rohith Mars, Rohan Kumar Das

    Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification
    Florian Schmid, Shahed Masoudian, Khaled Koutini, Gerhard Widmer

    CONFIDENCE REGULARIZED ENTROPY FOR POLYPHONIC SOUND EVENT DETECTION
    Won-GookChoi, Joon-Hyuk Chang

    SOUND EVENT LOCALIZATION AND DETECTION WITH PRE-TRAINED AUDIO SPECTROGRAM TRANSFORMER AND MULTICHANNEL SEPARATION NETWORK
    Robin Scheibler, Tatsuya Komatsu, Yusuke Fujita, Michael Hentschel

    Detection and Identification of Beehive Piping Audio Signals
    Dominique Fourer, Agnieszka Orlowska

    Few-shot bioacoustic event detection using an event-length adapted ensemble of prototypical networks
    John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten

    Sound event localization and detection for real spatial sound scenes: event-independent network and data augmentation chains
    Jinbo Hu, Yin Cao, Ming Wu, Qiuqiang Kong, Feiran Yang, Mark D. Plumbley, Jun Yang

    Explaining the Decisions of Anomalous Sound Detectors
    Kimberly T. Mai, Toby Davies, Lewis Griffin, Emmanouil Benetos

    ENSEMBLE OF MULTIPLE ANOMALOUS SOUND DETECTORS
    Yufeng Deng, Anbai Jiang, Yuchen Duan, Jitao Ma, Xuchu Chen, Jia Liu, Pingyi Fan, Cheng Lu, Wei-Qiang Zhang

    Convolutional Neural Network for audibility assessment of acoustic alarms
    François Effa, Romain Serizel, Jean-Pierre Arz, Nicolas Grimault

    Language-based audio retrieval with textual embeddings of tag names
    Thomas Pellegrini

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

    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