A Demand-Driven Perspective on Generative Audio AI

Autor:	Oh, Sangshin, Kang, Minsung, Moon, Hyeongi, Choi, Keunwoo, Chon, Ben Sangbae
Rok vydání:	2023
Předmět:	Electrical Engineering and Systems Science - Audio and Speech Processing Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	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. Comment: 10 pages, 7 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2307.04292 Zobrazit plný text záznamu View this record from Arxiv