3 papers
eess.AS2026
Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task
Riccardo Casciotti, Manjunath Mulimani, Manu Harju +2
This paper presents the Domain-Agnostic Incremental Learning for Audio Classification Task of the DCASE 2026 Challenge. Incremental learning refers to sequentially learning new tas…
eess.AS2025
Online incremental learning for audio classification using a pretrained audio model
Manjunath Mulimani, Annamaria Mesaros
Incremental learning aims to learn new tasks sequentially without forgetting the previously learned ones. Most of the existing incremental learning methods for audio focus on train…
eess.AS2024
Domain-Incremental Learning for Audio Classification
Manjunath Mulimani, Annamaria Mesaros
In this work, we propose a method for domain-incremental learning for audio classification from a sequence of datasets recorded in different acoustic conditions. Fine-tuning a mode…