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LLMs enhanced for speech recognition via phoneme-guided initialization · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a novel phoneme-guided initialization method to improve large language model (LLM) performance in automatic speech recognition (ASR), particularly in low-resource scenarios. This approach involves pre-training the audio encoder on speech-to-phoneme (S2P) tasks and the LLM on phoneme-to-grapheme (P2G) tasks before end-to-end fine-tuning. Experiments across multiple languages, including Japanese, Chinese, Tatar, and Urdu, demonstrated that this method matches or surpasses existing cascaded and end-to-end ASR models. Additionally, advancements in multilingual LLM-based P2G for ASR have been made, focusing on robustness strategies to handle S2P uncertainty and data imbalance, leading to reduced word error rates on benchmarks like CV-Lang10. AI

IMPACT Improves LLM performance in low-resource speech recognition and advances multilingual P2G capabilities.

RANK_REASON Two arXiv papers detailing novel methods for improving LLM-based speech recognition.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LLMs enhanced for speech recognition via phoneme-guided initialization · 2 sources tracked

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Two arXiv papers detailing novel methods for improving LLM-based speech recognition.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Ryo Magoshi, Shinsuke Sakai, Tatsuya Kawahara ·

    Phoneme-Guided Initialization for LLM-based Speech Recognition

    arXiv:2610.08994v1 Announce Type: cross Abstract: Speech large language models (speech LLMs) perform well on automatic speech recognition (ASR) when sufficient paired speech-text data is available, but their performance degrades in low-resource settings. A cascaded pipeline that …

  2. arXiv cs.CL TIER_1 English(EN) · Lukuan Dong, Ziwei Li, Saierdaer Yusuyin, Xianyu Zhao, Zhijian Ou ·

    Advancing LLM-based phoneme-to-grapheme for multilingual speech recognition

    arXiv:2603.29217v3 Announce Type: replace-cross Abstract: Phoneme-based ASR factorizes recognition into speech-to-phoneme (S2P) and phoneme-to-grapheme (P2G), enabling cross-lingual acoustic sharing while keeping language-specific orthography in a separate module. While large lan…

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