21 citations · 154 across the 60 of their papers we have counts for
Showing 2025 · cs.CLShow all
2 papers · 2 filters
cs.CL2025
SSVD: Structured SVD for Parameter-Efficient Fine-Tuning and Benchmarking under Domain Shift in ASR
Pu Wang, Shinji Watanabe, Hugo Van hamme
Parameter-efficient fine-tuning (PEFT) has emerged as a scalable solution for adapting large foundation models. While low-rank adaptation (LoRA) is widely used in speech applicatio…
cs.CL2025
Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR
Xinnian Zhao, Hugo Van Hamme
This study proposes a novel approach to using TV subtitles within a weakly supervised (WS) Automatic Speech Recognition (ASR) framework. Although TV subtitles are readily available…