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Spatial Audio Question Answering and Reasoning on Dynamic Source Movements
Arvind Krishna Sridhar, Yinyi Guo, Erik Visser
Spatial audio understanding aims to enable machines to interpret complex auditory scenes, particularly when sound sources move over time. In this work, we study Spatial Audio Quest…
Proactive Conversational Assistant for a Procedural Manual Task based on Audio and IMU
Rehana Mahfuz, Yinyi Guo, Erik Visser +1
Real-time conversational assistants for procedural manual tasks often depend on video input, which can be computationally expensive and compromise user privacy. For the first time,…
Event-Grounded Question Answering over Long Audio via Structured Retrieval
Kartik Hegde, Arvind Krishna Sridhar, Naveen Vakada +2
Answering natural-language questions over multi-hour audio requires reliable event recognition, temporal grounding, and efficient retrieval. We present LA-RAG (Long Audio Retrieval…