A Demand-Driven Perspective on Generative Audio AI

Sangshin Oh, Minsung Kang, Hyeongi Moon, Keunwoo Choi, Ben Sangbae Chon

Keywords: audio generation, generative AI

TL;DR: Analysis of industrial demands on generative audio AI, task definitions, current challenges, and solutions

Abstract: To achieve successful deployment of AI research, it is crucial to understand the demands of the industry. In this paper, we present the results of a survey conducted with professional audio engineers. The survey was conducted to determine research priorities and define various research tasks. Additionally, we summarize the current challenges in audio quality and controllability, based on the survey results. Our analysis reveals that the availability of datasets is currently the main bottleneck for achieving high-quality audio generation. Lastly, drawing on our experience, we suggest potential solutions and provide supporting empirical evidence.

Submission Number: 35