Mridul Mayank Jha

Development of a Deep Learning Model for Audio Question Answering (AQA)

This paper presents a high-efficiency multimodal framework designed for Audio Question Answering (AQA). To overcome standard CPU and disk I/O bottlenecks, the architecture implements a zero-I/O data pipeline that pre-processes and caches 10,686 samples directly into the 48 GB VRA...

Development of a Deep Learning Model for Audio Question Answering (AQA)

This paper presents a high-efficiency multimodal framework designed for Audio Question Answering (AQA). To overcome standard CPU and disk I/O bottlenecks, the architecture implements a zero-I/O data pipeline that pre-processes and caches 10,686 samples directly into the 48 GB VRA...