3 papers
eess.AS2026
The Universal Personalizer: Few-Shot Dysarthric Speech Recognition via Meta-Learning
Dhruuv Agarwal, Harry Zhang, Yang Yu +1
Personalizing dysarthric ASR is hindered by demanding enrollment collection and per-user training. We propose a hybrid meta-training method for a single model, enabling zero-shot a…
eess.AS2025
LLM-Synth4KWS: Scalable Automatic Generation and Synthesis of Confusable Data for Custom Keyword Spotting
Pai Zhu, Quan Wang, Dhruuv Agarwal +1
Custom keyword spotting (KWS) allows detecting user-defined spoken keywords from streaming audio. This is achieved by comparing the embeddings from voice enrollments and input audi…
cs.SD2025
GraphemeAug: A Systematic Approach to Synthesized Hard Negative Keyword Spotting Examples
Harry Zhang, Kurt Partridge, Pai Zhu +4
Spoken Keyword Spotting (KWS) is the task of distinguishing between the presence and absence of a keyword in audio. The accuracy of a KWS model hinges on its ability to correctly c…