Ensemble of pruned models for low-complexity acoustic scene classification

• Main Authors: Ooi, Kenneth, Peksi, Santi, Gan, Woon-Seng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Acoustic Scene Classification; Deep Learning
• Online Access: https://hdl.handle.net/10356/148327
• Institution: Nanyang Technological University

For the DCASE 2020 Challenge, the focus of Task 1B is to develop low-complexity models for classification of 3 different types of acoustic scenes, which have potential applications in resource-scarce edge devices deployed in a large-scale acoustic network. In this paper, we present the training meth...