Cover Image

Self-Supervised Learning for Few-Shot Bird Sound Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Moummad, Ilyass, Serizel, Romain, Farrugia, Nicolas
Format:	Preprint
Published:	2023
Subjects:	Sound Machine Learning Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection
by: Moummad, Ilyass, et al.
Published: (2023)

Domain-Invariant Representation Learning of Bird Sounds
by: Moummad, Ilyass, et al.
Published: (2024)

Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds
by: Moummad, Ilyass, et al.
Published: (2024)

Energy Consumption Trends in Sound Event Detection Systems
by: Douwes, Constance, et al.
Published: (2024)

Can Masked Autoencoders Also Listen to Birds?
by: Rauch, Lukas, et al.
Published: (2025)

Acoustic identification of individual animals with hierarchical contrastive learning
by: Nolasco, Ines, et al.
Published: (2024)

A benchmark of state-of-the-art sound event detection systems evaluated on synthetic soundscapes
by: Ronchini, Francesca, et al.
Published: (2022)

On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification
by: Heggan, Calum, et al.
Published: (2024)

The impact of non-target events in synthetic soundscapes for sound event detection
by: Ronchini, Francesca, et al.
Published: (2021)

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement
by: Sadeghi, Mostafa, et al.
Published: (2025)

Angular Distance Distribution Loss for Audio Classification
by: Almudévar, Antonio, et al.
Published: (2024)

Embedding-Space Diffusion for Zero-Shot Environmental Sound Classification
by: Sims, Ysobel, et al.
Published: (2024)

Performance and energy balance: a comprehensive study of state-of-the-art sound event detection systems
by: Ronchini, Francesca, et al.
Published: (2023)

LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging
by: Papaioannou, Charilaos, et al.
Published: (2024)

EnvId: A Metric Learning Approach for Forensic Few-Shot Identification of Unseen Environments
by: Moussa, Denise, et al.
Published: (2024)

Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
by: Kong, Zhifeng, et al.
Published: (2024)

Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
by: Glazer, Neta, et al.
Published: (2025)

Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models
by: Passoni, Riccardo, et al.
Published: (2025)

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification
by: Bae, Sangmin, et al.
Published: (2023)

Focal Modulation Networks for Interpretable Sound Classification
by: Della Libera, Luca, et al.
Published: (2024)

A Phoneme-Scale Assessment of Multichannel Speech Enhancement Algorithms
by: Monir, Nasser-Eddine, et al.
Published: (2024)

Evaluating Multichannel Speech Enhancement Algorithms at the Phoneme Scale Across Genders
by: Monir, Nasser-Eddine, et al.
Published: (2025)

Exploring Meta Information for Audio-based Zero-shot Bird Classification
by: Gebhard, Alexander, et al.
Published: (2023)

Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation
by: Singh, Riyansha, et al.
Published: (2024)

Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning
by: Wu, Haibin, et al.
Published: (2021)

Self-Supervised Learning for Speaker Recognition: A study and review
by: Lepage, Theo, et al.
Published: (2026)

Singer Identity Representation Learning using Self-Supervised Techniques
by: Torres, Bernardo, et al.
Published: (2024)

Towards Supervised Performance on Speaker Verification with Self-Supervised Learning by Leveraging Large-Scale ASR Models
by: Miara, Victor, et al.
Published: (2024)

Advanced Framework for Animal Sound Classification With Features Optimization
by: Yang, Qiang, et al.
Published: (2024)

The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning
by: Vaessen, Nik, et al.
Published: (2024)

Feature Aggregation in Joint Sound Classification and Localization Neural Networks
by: Healy, Brendan, et al.
Published: (2023)

DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels
by: Cornell, Samuele, et al.
Published: (2024)

MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
by: Heggan, Calum, et al.
Published: (2023)

Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction
by: Brima, Yusuf, et al.
Published: (2023)

Label-Efficient Self-Supervised Speaker Verification With Information Maximization and Contrastive Learning
by: Lepage, Théo, et al.
Published: (2022)

Additive Margin in Contrastive Self-Supervised Frameworks to Learn Discriminative Speaker Representations
by: Lepage, Theo, et al.
Published: (2024)

Multi-label Zero-Shot Audio Classification with Temporal Attention
by: Dogan, Duygu, et al.
Published: (2024)

Lungmix: A Mixup-Based Strategy for Generalization in Respiratory Sound Classification
by: Ge, Shijia, et al.
Published: (2024)

An Experimental Comparison Of Multi-view Self-supervised Methods For Music Tagging
by: Meseguer-Brocal, Gabriel, et al.
Published: (2024)

Tracking of Intermittent and Moving Speakers : Dataset and Metrics
by: Iatariene, Taous, et al.
Published: (2025)