Evaluating Descriptive Quality of AI-Generated Audio Using Image-Schemas-Reference-Cited by-同舟云学术

Evaluating Descriptive Quality of AI-Generated Audio Using Image-Schemas

Published:2023-03-27 Issue: Volume: Page:
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Container-title:Proceedings of the 28th International Conference on Intelligent User Interfaces
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Author:

Kamath Purnima¹^ORCID,Li Zhuoyao²^ORCID,Gupta Chitralekha¹^ORCID,Jaidka Kokil²^ORCID,Nanayakkara Suranga¹^ORCID,Wyse Lonce³^ORCID

Affiliation:

1. Augmented Human Lab, National University of Singapore, Singapore

2. National University of Singapore, Singapore

3. Music Technology Group, University Pompeu Fabra, Spain

Funder

Ministry of Education - Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581641.3584083

Reference60 articles.

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2. Shane Barratt and Rishi Sharma. 2018. A Note on the Inception Score. ArXiv abs/1801.01973(2018). Shane Barratt and Rishi Sharma. 2018. A Note on the Inception Score. ArXiv abs/1801.01973(2018).

3. Mikołaj Bińkowski , Danica J Sutherland , Michael Arbel , and Arthur Gretton . 2018 . Demystifying MMD GANs. In International Conference on Learning Representations. https://openreview.net/forum?id=r1lUOzWCW Mikołaj Bińkowski, Danica J Sutherland, Michael Arbel, and Arthur Gretton. 2018. Demystifying MMD GANs. In International Conference on Learning Representations. https://openreview.net/forum?id=r1lUOzWCW

4. Pros and cons of GAN evaluation measures

5. "Why would anybody do this?"

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