Défiler vers le haut
Chapitres
    • LOW-COMPLEXITY CNNS FOR ACOUSTIC SCENE CLASSIFICATION
    • Continual Learning For On-Device Environmental Sound Classification
    • A HYBRID SYSTEM OF SOUND EVENT DETECTION TRANSFORMER AND FRAME-WISE MODEL FOR DCASE 2022 TASK 4
    • Latent and adversarial data augmentations for sound event detection and classification
    • Exploring eco-acoustic data with K-determinantal point processes
    • Few-Shot Bioacoustic Event Detection: Enhanced Classifiers for Prototypical Networks
    • Analyzing the effect of equal-angle spatial discretization on sound event localization and detection
    • MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection...
    • A summarization approach to evaluating audio captioning

    Licence Creative Commons Posters spotlights 2 - DCASE2022 Workshop

    3 novembre 2022
    Durée : 00:32:11
    Nombre de vues 32
    Nombre d’ajouts dans une liste de lecture 0
    Nombre de favoris 0

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

    Poster spotlights 2

    LOW-COMPLEXITY CNNS FOR ACOUSTIC SCENE CLASSIFICATION
    Arshdeep Singh, Mark D. Plumbley

    Continual Learning For On-Device Environmental Sound Classification
    Yang Xiao, Xubo Liu, James King, Arshdeep Singh, Eng Siong Chng, Mark D. Plumbley, Wenwu Wang

    Model Training that Prioritizes Rare Overlapped Labels for Polyphonic Sound Event Detection
    Rie Koga, Sawa Takamuku, Keisuke Imoto, Naotake Natori

    A HYBRID SYSTEM OF SOUND EVENT DETECTION TRANSFORMER AND FRAME-WISE MODEL FOR DCASE 2022 TASK 4
    Yiming Li, Zhifang Guo, Zhirong Ye, Xiangdong Wang, Hong Liu, Yueliang Qian, 陶 瑞, Long Yan, Kazushige Ouchi

    Impact of temporal resolution on convolutional recurrent networks for audio tagging and sound event detection
    Wim Boes, Hugo Van hamme

    Latent and adversarial data augmentations for sound event detection and classification
    David Perera, Slim Essid, Gaël Richard

    Exploring eco-acoustic data with K-determinantal point processes
    Mohamed Outidrarine, Pierre Baudet, Vincent Lostanlen, Mathieu Lagrange, Juan Sebastián Ulloa

    Few-Shot Bioacoustic Event Detection: Enhanced Classifiers for Prototypical Networks
    Ren Li, Jinhua Liang, Huy Phan

    Analyzing the effect of equal-angle spatial discretization on sound event localization and detection
    Saksham Singh Kushwaha, Iran R. Roman, Juan P. Bello

    MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task
    Kota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, Yohei Kawaguchi

    A summarization approach to evaluating audio captioning
    Irene Martin, Manu Harju, Annamaria Mesaros

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

    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