Domain-Incremental Learning for Audio Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Mulimani, Manjunath, Mesaros, Annamaria |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Class-Incremental Learning for Multi-Label Audio Classification
by: Mulimani, Manjunath, et al.
Published: (2024)
by: Mulimani, Manjunath, et al.
Published: (2024)
Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations
by: Mulimani, Manjunath, et al.
Published: (2024)
by: Mulimani, Manjunath, et al.
Published: (2024)
Online incremental learning for audio classification using a pretrained audio model
by: Mulimani, Manjunath, et al.
Published: (2025)
by: Mulimani, Manjunath, et al.
Published: (2025)
Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task
by: Casciotti, Riccardo, et al.
Published: (2026)
by: Casciotti, Riccardo, et al.
Published: (2026)
Class-Incremental Learning for Sound Event Localization and Detection
by: Pandey, Ruchi, et al.
Published: (2024)
by: Pandey, Ruchi, et al.
Published: (2024)
Sound event detection with audio-text models and heterogeneous temporal annotations
by: Harju, Manu, et al.
Published: (2025)
by: Harju, Manu, et al.
Published: (2025)
Incremental learning for audio classification with Hebbian Deep Neural Networks
by: Casciotti, Riccardo, et al.
Published: (2026)
by: Casciotti, Riccardo, et al.
Published: (2026)
Positive and negative sampling strategies for self-supervised learning on audio-video data
by: Wang, Shanshan, et al.
Published: (2024)
by: Wang, Shanshan, et al.
Published: (2024)
Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge
by: Schmid, Florian, et al.
Published: (2025)
by: Schmid, Florian, et al.
Published: (2025)
Computer Audition: From Task-Specific Machine Learning to Foundation Models
by: Triantafyllopoulos, Andreas, et al.
Published: (2024)
by: Triantafyllopoulos, Andreas, et al.
Published: (2024)
Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge
by: Schmid, Florian, et al.
Published: (2024)
by: Schmid, Florian, et al.
Published: (2024)
Sound Event Detection and Localization with Distance Estimation
by: Krause, Daniel Aleksander, et al.
Published: (2024)
by: Krause, Daniel Aleksander, et al.
Published: (2024)
A decade of DCASE: Achievements, practices, evaluations and future challenges
by: Mesaros, Annamaria, et al.
Published: (2024)
by: Mesaros, Annamaria, et al.
Published: (2024)
DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels
by: Cornell, Samuele, et al.
Published: (2024)
by: Cornell, Samuele, et al.
Published: (2024)
AudioCIL: A Python Toolbox for Audio Class-Incremental Learning with Multiple Scenes
by: Xu, Qisheng, et al.
Published: (2024)
by: Xu, Qisheng, et al.
Published: (2024)
Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers
by: Selvaraj, Nithish Muthuchamy, et al.
Published: (2023)
by: Selvaraj, Nithish Muthuchamy, et al.
Published: (2023)
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation
by: Singh, Riyansha, et al.
Published: (2024)
by: Singh, Riyansha, et al.
Published: (2024)
Advancing Continual Learning for Robust Deepfake Audio Classification
by: Dong, Feiyi, et al.
Published: (2024)
by: Dong, Feiyi, et al.
Published: (2024)
AFT: An Exemplar-Free Class Incremental Learning Method for Environmental Sound Classification
by: Chen, Xinyi, et al.
Published: (2025)
by: Chen, Xinyi, et al.
Published: (2025)
REVERB-FL: Server-Side Adversarial and Reserve-Enhanced Federated Learning for Robust Audio Classification
by: Peechara, Sathwika, et al.
Published: (2025)
by: Peechara, Sathwika, et al.
Published: (2025)
Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing
by: Xiao, Yang, et al.
Published: (2025)
by: Xiao, Yang, et al.
Published: (2025)
FLAMO: An Open-Source Library for Frequency-Domain Differentiable Audio Processing
by: Santo, Gloria Dal, et al.
Published: (2024)
by: Santo, Gloria Dal, et al.
Published: (2024)
TADA: Training-free Attribution and Out-of-Domain Detection of Audio Deepfakes
by: Stan, Adriana, et al.
Published: (2025)
by: Stan, Adriana, et al.
Published: (2025)
Evaluating Pretrained General-Purpose Audio Representations for Music Genre Classification
by: Rai, Kashish, et al.
Published: (2026)
by: Rai, Kashish, et al.
Published: (2026)
Self-Supervised Convolutional Audio Models are Flexible Acoustic Feature Learners: A Domain Specificity and Transfer-Learning Study
by: Ogg, Mattson
Published: (2025)
by: Ogg, Mattson
Published: (2025)
Domain Adaptation for Contrastive Audio-Language Models
by: Deshmukh, Soham, et al.
Published: (2024)
by: Deshmukh, Soham, et al.
Published: (2024)
Text-based Audio Retrieval by Learning from Similarities between Audio Captions
by: Xie, Huang, et al.
Published: (2024)
by: Xie, Huang, et al.
Published: (2024)
Towards Privacy-Preserving Audio Classification Systems
by: Chhaglani, Bhawana, et al.
Published: (2024)
by: Chhaglani, Bhawana, et al.
Published: (2024)
Angular Distance Distribution Loss for Audio Classification
by: Almudévar, Antonio, et al.
Published: (2024)
by: Almudévar, Antonio, et al.
Published: (2024)
PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio Classification
by: Seth, Ashish, et al.
Published: (2024)
by: Seth, Ashish, et al.
Published: (2024)
Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning-Based Audio Enhancement: Algorithm Development and Validation
by: Tzeng, Jing-Tong, et al.
Published: (2024)
by: Tzeng, Jing-Tong, et al.
Published: (2024)
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning
by: Bai, Jisheng, et al.
Published: (2023)
by: Bai, Jisheng, et al.
Published: (2023)
Pitch Contour Exploration Across Audio Domains: A Vision-Based Transfer Learning Approach
by: Abeßer, Jakob, et al.
Published: (2025)
by: Abeßer, Jakob, et al.
Published: (2025)
Benchmarking Time-localized Explanations for Audio Classification Models
by: Bolaños, Cecilia, et al.
Published: (2025)
by: Bolaños, Cecilia, et al.
Published: (2025)
Dark Experience for Incremental Keyword Spotting
by: Peng, Tianyi, et al.
Published: (2024)
by: Peng, Tianyi, et al.
Published: (2024)
Janssen 2.0: Audio Inpainting in the Time-frequency Domain
by: Mokrý, Ondřej, et al.
Published: (2024)
by: Mokrý, Ondřej, et al.
Published: (2024)
Audio Inpainting in Time-Frequency Domain with Phase-Aware Prior
by: Balušík, Peter, et al.
Published: (2026)
by: Balušík, Peter, et al.
Published: (2026)
Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models
by: Li, Longhao, et al.
Published: (2026)
by: Li, Longhao, et al.
Published: (2026)
Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers
by: Cappellazzo, Umberto, et al.
Published: (2023)
by: Cappellazzo, Umberto, et al.
Published: (2023)
Structural and Statistical Audio Texture Knowledge Distillation for Acoustic Classification
by: Ritu, Jarin, et al.
Published: (2025)
by: Ritu, Jarin, et al.
Published: (2025)
Similar Items
-
Class-Incremental Learning for Multi-Label Audio Classification
by: Mulimani, Manjunath, et al.
Published: (2024) -
Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations
by: Mulimani, Manjunath, et al.
Published: (2024) -
Online incremental learning for audio classification using a pretrained audio model
by: Mulimani, Manjunath, et al.
Published: (2025) -
Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task
by: Casciotti, Riccardo, et al.
Published: (2026) -
Class-Incremental Learning for Sound Event Localization and Detection
by: Pandey, Ruchi, et al.
Published: (2024)