Automating acoustic signal processing experiments and audio machine learning datasets using robots

My thesis presents comprehensive research on automating AI/ML pipeline infrastructure, addressing the critical need for large-scale, diverse data in AI research and machine learning applications. The work demonstrates how advanced automation can transform traditional data collection bottlenecks into scalable, reproducible training pipelines - exemplifying the full-stack approach to AI development and deployment.

A. Lu, "Automating acoustic signal processing experiments and audio machine learning datasets using robots," Ph.D. dissertation, University of Illinois at Urbana-Champaign, 2024.
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