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cs.CL2025
A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data
Cheng-Kang Chou, Chan-Jan Hsu, Ho-Lam Chung +5
We propose a self-refining framework that enhances ASR performance with only unlabeled datasets. The process starts with an existing ASR model generating pseudo-labels on unannotat…
cs.CL2024
Do Prompts Really Prompt? Exploring the Prompt Understanding Capability of Whisper
Chih-Kai Yang, Kuan-Po Huang, Hung-yi Lee
This research explores how the information of prompts interacts with the high-performing speech recognition model, Whisper. We compare its performances when prompted by prompts wit…