Few-Shot Audio Classification Model for Detecting Classroom Interactions Using LaSO Features in Prototypical Networks

Iqbal, R., Ritz, C., Yang, J. et al. (1 more author) (2025) Few-Shot Audio Classification Model for Detecting Classroom Interactions Using LaSO Features in Prototypical Networks. In: 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 03-06 Dec 2024, Macau, Macao. IEEE ISBN: 979-8-3503-6734-8 ISSN: 2640-009X EISSN: 2640-0103

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Keywords: Time-frequency analysis, Accuracy, Asia, Information processing, Feature extraction, Recording, Few shot learning, Monitoring, Testing
Dates:
  • Published (online): 27 January 2025
  • Published: 27 January 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Education (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 06 Aug 2025 14:39
Last Modified: 06 Aug 2025 15:08
Published Version: https://ieeexplore.ieee.org/document/10849057
Status: Published
Publisher: IEEE
Identification Number: 10.1109/apsipaasc63619.2025.10849057
Open Archives Initiative ID (OAI ID):

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