A Demand-Driven Perspective on Generative Audio AI
Audio and Speech Processing
2023-07-11 v1 Artificial Intelligence
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, in order to determine research priorities and define various research tasks. We also summarize the current challenges in audio quality and controllability based on the survey. Our analysis emphasizes that the availability of datasets is currently the main bottleneck for achieving high-quality audio generation. Finally, we suggest potential solutions for some revealed issues with empirical evidence.
Keywords
Cite
@article{arxiv.2307.04292,
title = {A Demand-Driven Perspective on Generative Audio AI},
author = {Sangshin Oh and Minsung Kang and Hyeongi Moon and Keunwoo Choi and Ben Sangbae Chon},
journal= {arXiv preprint arXiv:2307.04292},
year = {2023}
}
Comments
10 pages, 7 figures