1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Class-Incremental Learning for Sound Event Localization and Detection
Ruchi Pandey, Manjunath Mulimani, Archontis Politis +1
This paper investigates the feasibility of class-incremental learning (CIL) for Sound Event Localization and Detection (SELD) tasks. The method features an incremental learner that…
Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations
Manjunath Mulimani, Annamaria Mesaros
In this paper, we propose a method for online domain-incremental learning of acoustic scene classification from a sequence of different locations. Simply training a deep learning m…
Class-Incremental Learning for Multi-Label Audio Classification
Manjunath Mulimani, Annamaria Mesaros
In this paper, we propose a method for class-incremental learning of potentially overlapping sounds for solving a sequence of multi-label audio classification tasks. We design an i…