Ensemble of pruned models for low-complexity acoustic scene classification

• المؤلفون الرئيسيون: Ooi, Kenneth, Peksi, Santi, Gan, Woon-Seng
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; Acoustic Scene Classification; Deep Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/148327
• المؤسسة: 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...