Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Mulimani, Manjunath"'
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 can learn new sound classes independently while preserving knowledge
Externí odkaz:
http://arxiv.org/abs/2411.12830
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 model on a sequence of different locations leads to forgetting of previ
Externí odkaz:
http://arxiv.org/abs/2406.13386
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 incremental learner that learns new classes independently of the old cl
Externí odkaz:
http://arxiv.org/abs/2401.04447
In this paper, we propose a method for incremental learning of two distinct tasks over time: acoustic scene classification (ASC) and audio tagging (AT). We use a simple convolutional neural network (CNN) model as an incremental learner to solve the t
Externí odkaz:
http://arxiv.org/abs/2302.14815
Sound event detection (SED) in machine listening entails identifying the different sounds in an audio file and identifying the start and end time of a particular sound event in the audio. SED finds use in various applications such as audio surveillan
Externí odkaz:
http://arxiv.org/abs/2111.01205
Publikováno v:
In Digital Signal Processing July 2023 139
Publikováno v:
In Expert Systems With Applications 1 April 2022 191
Publikováno v:
In Applied Acoustics 1 December 2019 155:130-138
Publikováno v:
In Expert Systems With Applications 15 April 2019 120:413-425
Publikováno v:
In Digital Signal Processing April 2019 87:1-9