Voice to Victory: Modeling In-Game Voice Communication for Team Coordination in MOBA Games

b) Utterance Segmentation and Intent Classification (a) Detecting Moments of Interest (MoI) (c) Social Network Modeling Let's take dragon.Sure.Ari is coming.Top: Let's take dragon (Act: Directive) Mid: Sure.

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Publication Details

Published
2025-09-27
DOI
https://doi.org/10.1145/3746058.3758425
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Voice to Victory: Modeling In-Game Voice Communication for Team Coordination in MOBA Games

Biomedical Text Mining and Ontologies
article

Voice to Victory: Modeling In-Game Voice Communication for Team Coordination in MOBA Games

article en

Abstract

b) Utterance Segmentation and Intent Classification (a) Detecting Moments of Interest (MoI) (c) Social Network Modeling Let's take dragon.Sure.Ari is coming.Top: Let's take dragon (Act: Directive) Mid: Sure.

Chung-Ang University (KR)
Openalex Percentile: Top 48%
Biomedical Text Mining and Ontologies
DOIOpen Access PDFOpenAlex
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Voice to Victory: Modeling In-Game Voice Communication for Team Coordination in MOBA Games · (2025) | TGRS Research Map | TGRS