4 papers · 1 filter
GLoRIA: Gated Low-Rank Interpretable Adaptation for Dialectal ASR
Pouya Mehralian, Melissa Farasyn, Anne Breitbarth +2
Automatic Speech Recognition (ASR) in dialect-heavy settings remains challenging due to strong regional variation and limited labeled data. We propose GLoRIA, a parameter-efficient…
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…
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…
MSNER: A Multilingual Speech Dataset for Named Entity Recognition
Quentin Meeus, Marie-Francine Moens, Hugo Van hamme
While extensively explored in text-based tasks, Named Entity Recognition (NER) remains largely neglected in spoken language understanding. Existing resources are limited to a singl…