arXiv (All)
open access
Beyond Discrimination: Calibrated Geoprior Fusion for Bioacoustic Monitoring
Modern bioacoustic foundation models like Perch and BirdNET can identify species with high discriminative accuracy, yet their confidence scores are often uncalibrated and difficult to interpret as probabilities of real-world occurrence. This limits their use for ecological inference beyond threshold
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Rate-Agnostic Bioacoustics: Heterogeneous Multi-Taxa Classification with Continuous Filterbanks and Fourier Neural Operators#1144874
- Time-frequency localization of bird calls in dense soundscapes#1128608
- Beyond task performance: Decoding bioacoustic embeddings with speech features#271825
- Spatial distribution of acoustic traits in bird assemblages along regional bioclimatic gradients#7655
- Localized time-frequency representation learning for bioacoustic classification in complex soundscapes#1129054
Record · ID 1130705
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive