mlsanityData to 14 Oct 2026

Game-Oriented ASR Error Correction via RAG-Enhanced LLM

arXiv 2509.23630 ↗First posted 28 Sep 2025cs.AIcited by 0

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Abstract (arXiv)

With the rise of multiplayer online games, real-time voice communication is essential for team coordination. However, general ASR systems struggle with gaming-specific challenges like short phrases, rapid speech, jargon, and noise, leading to frequent errors. To address this, we propose the GO-AEC framework, which integrates large language models, Retrieval-Augmented Generation (RAG), and a data augmentation strategy using LLMs and TTS. GO-AEC includes data augmentation, N-best hypothesis-based correction, and a dynamic game knowledge base. Experiments show GO-AEC reduces character error rate by 6.22% and sentence error rate by 29.71%, significantly improving ASR accuracy in gaming scenarios.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 12 of its 16 references that are in the map. First posted on arXiv 28 Sep 2025.

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12 of 16 references.

References · 12

  1. 2019Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Modelcited by 52
  2. 2023N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Spacecited by 42
  3. 2024Large Language Models are Efficient Learners of Noise-Robust Speech Recognitioncited by 31
  4. 2024ASR Error Correction using Large Language Modelscited by 24
  5. 2022Error Correction in ASR using Sequence-to-Sequence Modelscited by 19
  6. 2024Retrieval Augmented Correction of Named Entity Speech Recognition Errorscited by 10
  7. 2025GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systemscited by 5
  8. 2024Towards interfacing large language models with ASR systems using confidence measures and promptingcited by 4
  9. 2024LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented Generationcited by 4
  10. 2024Robust ASR Error Correction with Conservative Data Filteringcited by 3
  11. 2019Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognitioncited by 1
  12. 2024Speak & Spell: LLM-Driven Controllable Phonetic Error Augmentation for Robust Dialogue State Trackingcited by 1

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  1. 2024Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation
  2. 2025LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic Context
  3. 2023Multi-stage Large Language Model Correction for Speech Recognition
  4. 2026Whisper: Courtside Edition Enhancing ASR Performance Through LLM-Driven Context Generation
  5. 2022The NPU-ASLP System for The ISCSLP 2022 Magichub Code-Swiching ASR Challenge
  6. 2025Fewer Hallucinations, More Verification: A Three-Stage LLM-Based Framework for ASR Error Correction
  7. 2024Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases
  8. 2026Better Retrieval, Worse Robustness: How Multi-hop RAG Amplifies Upstream ASR Errors