arXiv (All)
open access
Uncertainty Quantification and Risk Control for Multiple Sound Source Localization
Reliable Sound Source Localization (SSL) plays an essential role in many downstream tasks, where informed decision making depends not only on accurate localization but also on the confidence in each estimate. This need for reliability becomes even more pronounced in challenging conditions, such as r
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
- Efficient and Microphone-Fault-Tolerant 3D Sound Source Localization#984859
- A Unified Uncertainty-Aware Back-End for Speaker Verification: Scoring, Normalization, and Calibration#1083186
- Domain-Incremental Learning for Multi-Channel Replay Speech Detection#998743
- Spooftral: Can Voxtral Audio-Language Model Detect Speech Spoofing?#1076369
- Sound Source Localization Exploiting Signal and Geometry Conditioning Mechanisms / Ulrik Kowalk#1089644
Record · ID 1343529
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