arXiv — NLP / Computation & Language · · 3 min read

Low-Latency Real-Time Audio Game Commentary System via LLM-Based Parallel Text Generation

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Computer Science > Computation and Language

arXiv:2606.13322 (cs)
[Submitted on 11 Jun 2026]

Title:Low-Latency Real-Time Audio Game Commentary System via LLM-Based Parallel Text Generation

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Abstract:We present a low-latency real-time audio game commentary system that generates spoken commentary directly from live gameplay video. In this end-to-end setting, a key bottleneck is accumulated waiting time; conventional pipelines capture frames, generate text, and synthesize speech sequentially for each utterance, and do not request the next generation until speech playback has completed. This strict sequentiality causes long and unnatural silence between utterances. To address this latency bottleneck, our system runs text generation in parallel with speech playback and buffers multiple candidate utterances ahead of time, enabling immediate synthesis at playback boundaries. Experiments on fast-paced game videos show that our parallel design reduces the mean inter-utterance silence from 9.6 seconds to 0.3 seconds compared to sequential baselines. It also improves similarity to professional speaking--silence timing patterns by over 40 %, and a user study with 120 experienced game players confirms significantly improved perceived speaking rhythm. Our demo video is available at: this https URL.
Comments: Accepted at IJCAI-ECAI 2026 (Demonstrations Track)
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2606.13322 [cs.CL]
  (or arXiv:2606.13322v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2606.13322
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Ryota Kawamatsu [view email]
[v1] Thu, 11 Jun 2026 13:15:13 UTC (668 KB)
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