{"total":50,"rows":[{"id":"2504.12880","title":"Can Masked Autoencoders Also Listen to Birds?","created":"2025-04-17","cited_by_count":26,"area":null},{"id":"2508.04665","title":"Perch 2.0: The Bittern Lesson for Bioacoustics","created":"2025-08-06","cited_by_count":26,"area":null},{"id":"2506.00343","title":"The iNaturalist Sounds Dataset","created":"2025-05-31","cited_by_count":17,"area":null},{"id":"2312.15824","title":"Self-Supervised Learning for Few-Shot Bird Sound Classification","created":"2023-12-25","cited_by_count":11,"area":null},{"id":"2508.01277","title":"Foundation Models for Bioacoustics -- a Comparative Review","created":"2025-08-02","cited_by_count":11,"area":null},{"id":"2404.10420","title":"AudioProtoPNet: An interpretable deep learning model for bird sound classification","created":"2024-04-16","cited_by_count":10,"area":null},{"id":"2406.18621","title":"Towards Deep Active Learning in Avian Bioacoustics","created":"2024-06-26","cited_by_count":10,"area":null},{"id":"2501.05987","title":"Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing","created":"2025-01-10","cited_by_count":9,"area":null},{"id":"2602.07143","title":"Massive Sound Embedding Benchmark (MSEB)","created":"2026-02-06","cited_by_count":9,"area":null},{"id":"2404.16436","title":"Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics","created":"2024-04-25","cited_by_count":7,"area":null},{"id":"2504.06710","title":"Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors","created":"2025-04-09","cited_by_count":7,"area":null},{"id":"2512.03219","title":"Perch 2.0 transfers 'whale' to underwater tasks","created":"2025-12-02","cited_by_count":7,"area":null},{"id":"2409.15383","title":"Generalization in birdsong classification: impact of transfer learning methods and dataset characteristics","created":"2024-09-21","cited_by_count":5,"area":null},{"id":"2508.11845","title":"AVEX: What Matters for Animal Vocalization Encoding","created":"2025-08-15","cited_by_count":5,"area":null},{"id":"2503.02389","title":"Robust detection of overlapping bioacoustic sound events","created":"2025-03-04","cited_by_count":4,"area":null},{"id":"2402.15360","title":"All Thresholds Barred: Direct Estimation of Call Density in Bioacoustic Data","created":"2024-02-23","cited_by_count":3,"area":null},{"id":"2402.17775","title":"WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database","created":"2024-02-20","cited_by_count":3,"area":null},{"id":"2606.03821","title":"Finding Needles in the Haystack: Transductive Active Labeling in Ecology","created":"2026-06-02","cited_by_count":3,"area":null},{"id":"2503.00296","title":"Synthetic data enables context-aware bioacoustic sound event detection","created":"2025-03-01","cited_by_count":2,"area":null},{"id":"2504.16276","title":"An Automated Pipeline for Few-Shot Bird Call Classification: A Case Study with the Tooth-Billed Pigeon","created":"2025-04-22","cited_by_count":2,"area":null},{"id":"2511.05171","title":"Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models","created":"2025-11-07","cited_by_count":2,"area":null},{"id":"2601.08358","title":"Linear probing enables Ship-Radiated Noise recognition with pretrained audio embeddings","created":"2026-01-13","cited_by_count":2,"area":null},{"id":"2604.11560","title":"bacpipe: a Python package to make bioacoustic deep learning models accessible","created":"2026-04-13","cited_by_count":2,"area":null},{"id":"2606.12503","title":"Dolph2Vec: Self-Supervised Representations of Dolphin Vocalizations","created":"2026-06-10","cited_by_count":2,"area":null},{"id":"2607.14072","title":"MetaPerch: Learning from metadata for bioacoustics foundation models","created":"2026-07-15","cited_by_count":2,"area":null},{"id":"2406.13579","title":"Automated Bioacoustic Monitoring for South African Bird Species on Unlabeled Data","created":"2024-06-19","cited_by_count":1,"area":null},{"id":"2503.15576","title":"A Bird Song Detector for improving bird identification through Deep Learning: a case study from Do\\~nana","created":"2025-03-19","cited_by_count":1,"area":null},{"id":"2508.10230","title":"No Free Lunch from Audio Pretraining in Bioacoustics: A Benchmark Study of Embeddings","created":"2025-08-13","cited_by_count":1,"area":null},{"id":"2511.19275","title":"Dynamic Multi-Species Bird Soundscape Generation with Acoustic Patterning and 3D Spatialization","created":"2025-11-24","cited_by_count":1,"area":null},{"id":"2605.00225","title":"From Birdsong to Rumbles: Classifying Elephant Calls with Out-of-Species Embeddings","created":"2026-04-30","cited_by_count":1,"area":null},{"id":"2605.10494","title":"Multi-layer attentive probing improves transfer of audio representations for bioacoustics","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2404.17252","title":"Comparison of self-supervised in-domain and supervised out-domain transfer learning for bird species recognition","created":"2024-04-26","cited_by_count":0,"area":null},{"id":"2410.23325","title":"Transfer Learning in Vocal Education: Technical Evaluation of Limited Samples Describing Mezzo-soprano","created":"2024-10-30","cited_by_count":0,"area":null},{"id":"2507.13727","title":"Adversarial Training Improves Generalization Under Distribution Shifts in Bird Sound Classification","created":"2025-07-18","cited_by_count":0,"area":null},{"id":"2509.09198","title":"GmSLM : Generative Marmoset Spoken Language Modeling","created":"2025-09-11","cited_by_count":0,"area":null},{"id":"2509.18412","title":"Identifying birdsong syllables without labelled data","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2602.03817","title":"Adaptive Evidence Weighting for Audio-Spatiotemporal Fusion","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2604.08087","title":"DeepForestSound: a multi-species automatic detector for passive acoustic monitoring in African tropical forests, a case study in Kibale National Park","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2604.27936","title":"Beyond the Baseband: Adaptive Multi-Band Encoding for Full-Spectrum Bioacoustics Classification","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2606.14662","title":"Beyond task performance: Decoding bioacoustic embeddings with speech features","created":"2026-06-12","cited_by_count":0,"area":null},{"id":"2606.16084","title":"Rhythm of the Deep: Two-tier acoustic organization of sperm-whale codas from click waveforms to second-order sequence dependence","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2607.03304","title":"Adaptive Loss Balancing for Multi-Task Bioacoustic Classification of Bird Species and Call Types","created":"2026-07-03","cited_by_count":0,"area":null},{"id":"2607.14474","title":"Can Tokens Compete? Token Representations against Supervised CNN Backbones for BirdCLEF+ 2026","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2608.02104","title":"Uncertainty-Aware Crossmodal Fusion for Classification of Animal Behavior","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2608.14824","title":"A Parameter-Free Few-Shot Evaluation for Elephant Vocalisation Classification","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2608.23101","title":"PolyChirp: Multi-Species Birdsong Classification Using TinyML on Low-Power Acoustic Sensors","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.01792","title":"Efficient Passive Acoustic Monitoring of Killer Whales Using a Two-Stage Detection and Ecotype Classification Cascade","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.11986","title":"Unlabeled Echoes: Pseudo-Labels and Genus-Aware Smoothing for Bat Call Recognition","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.25657","title":"Targeted Review for AI-Assisted Biodiversity Surveys: Active Continuous-Score Occupancy Modeling","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.27409","title":"Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}