arXiv (All)
open access
Before the Warning Comes Too Late: Incremental Phone-Scam Detection from Speech
We study weakly supervised incremental telecom fraud detection from raw telephone audio, where training provides only conversation-level labels and predictions must be updated before a call ends. We introduce StreamFraudNet, which processes incoming audio through overlapping bounded-context windows
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
- FRAUDSkill: Structured Frozen-Weight Skill Optimization for Audio Anti-Fraud Detection#1014882
- Zero-Shot Temporal Localisation of Audio Deepfakes in Multi-Speaker Conversations#996968
- Rethinking Multimodal Fake News Detection in the Generative AI Era#1132051
- CBW: Towards Dataset Ownership Verification for Speaker Verification via Clustering-based Backdoor Watermarking#1122405
- Spooftral: Can Voxtral Audio-Language Model Detect Speech Spoofing?#1076369
Record · ID 1033992
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