arXiv (All)
open access
An Evaluation Framework for Structured Audio Captions Validated by Controlled Perturbations
Recent advances in automated audio captioning (AAC) are driving a shift from monolithic sentences toward structured formats that disentangle acoustic and semantic properties, such as timestamped captions for different sound events. Such representations can support faceted sound search for creators a
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
- SonicCaps: Large-Scale Diverse and Fine-Grained Captioning for Improved Audio-Retrieval#924235
- SonicCaps: Large-Scale Diverse and Fine-Grained Captioning for Improved Audio-Retrieval#920004
- Voices as Handles: Reasoning about Speaker Identity with Frozen Text LLMs#1143102
- AVID: A Benchmark for Omni-Modal Audio-Visual Inconsistency Understanding via Agent-Driven Construction#1122448
- AV-SafetyBench: A Safety Benchmark for Text-to-Audio-Video Generation#975064
Record · ID 1077922
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