Summary of Audiopedia: Audio Qa with Knowledge, by Abhirama Subramanyam Penamakuri et al.
Audiopedia: Audio QA with Knowledge
by Abhirama Subramanyam Penamakuri, Kiran Chhatre, Akshat Jain
First submitted to arxiv on: 29 Dec 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Multimedia (cs.MM); Sound (cs.SD); Audio and Speech Processing (eess.AS)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Audiopedia task requires both audio comprehension and external knowledge reasoning to answer complex questions. The traditional Audio Question Answering (AQA) benchmarks focus on simple queries, whereas Audiopedia targets knowledge-intensive questions. Three sub-tasks are defined: Single Audio Question Answering (s-AQA), Multi-Audio Question Answering (m-AQA), and Retrieval-Augmented Audio Question Answering (r-AQA). Large audio language models (LALMs) struggle with these tasks, prompting the development of a generic framework that equips LALMs with knowledge reasoning capabilities. The proposed framework consists of Audio Entity Linking (AEL) and Knowledge-Augmented Audio Large Multimodal Model (KA2LM), which together improve performance on knowledge-intensive AQA tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper introduces Audiopedia, a new way for computers to understand audio recordings by answering complex questions that require both listening skills and general knowledge. Right now, computers can only answer simple questions based on the audio alone, but with Audiopedia, they need to use information from other sources too. The authors tested some computer models on this task and found that they didn’t do very well. To help them improve, the authors created a new framework that gives these computer models more knowledge-reasoning abilities. |
Keywords
* Artificial intelligence * Entity linking * Prompting * Question answering
