3 papers
eess.AS2025
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…
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…
cs.SD2024
Adversarial training of Keyword Spotting to Minimize TTS Data Overfitting
Hyun Jin Park, Dhruuv Agarwal, Neng Chen +10
The keyword spotting (KWS) problem requires large amounts of real speech training data to achieve high accuracy across diverse populations. Utilizing large amounts of text-to-speec…