A Demand-Driven Perspective on Generative Audio AI
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...
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| creator | Oh, Sangshin Kang, Minsung Moon, Hyeongi Choi, Keunwoo Chon, Ben Sangbae |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.2307.04292 |
| format | Article |
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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
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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
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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
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| subjects | Computer Science - Artificial Intelligence |
| title | A Demand-Driven Perspective on Generative Audio AI |
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