most citedLarge Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition

10 citations · 11 across the 4 of their papers we have counts for

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eess.AS2025

UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation

Alexander H. Liu, Sang-gil Lee, Chao-Han Huck Yang +5

Pre-training and representation learning have been playing an increasingly important role in modern speech processing. Nevertheless, different applications have been relying on dif…

eess.AS2024★ 1 cited

Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error Correction

Yuanchao Li, Yuan Gong, Chao-Han Huck Yang +2

Annotating and recognizing speech emotion using prompt engineering has recently emerged with the advancement of Large Language Models (LLMs), yet its efficacy and reliability remai…