Voice Communication Analysis in Esports
November 21, 2024 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Aymeric Vinot, Nicolas Perez
arXiv ID
2411.19793
Category
cs.SD: Sound
Cross-listed
cs.AI,
cs.CL,
eess.AS
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In most team-based esports, voice communications are prominent in the team efficiency and synergy. In fact it has been observed that not only the skill aspect of the team but also the team effective voice communication comes into play when trying to have good performance in official matches. With the recent emergence of LLM (Large Language Models) tools regarding NLP (Natural Language Processing) (Vaswani et. al.), we decided to try applying them in order to have a better understanding on how to improve the effectiveness of the voice communications. In this paper the study has been made through the prism of League of Legends esport. However the main concepts and ideas can be easily applicable in any other team related esports.
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