2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Hypernetworks for Personalizing ASR to Atypical Speech
Max Müller-Eberstein, Dianna Yee, Karren Yang +2
Parameter-efficient fine-tuning (PEFT) for personalizing automatic speech recognition (ASR) has recently shown promise for adapting general population models to atypical speech. Ho…
eess.AS2023
Latent Phrase Matching for Dysarthric Speech
Colin Lea, Dianna Yee, Jaya Narain +4
Many consumer speech recognition systems are not tuned for people with speech disabilities, resulting in poor recognition and user experience, especially for severe speech differen…
cs.HC2023★ 2 cited
From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition
Colin Lea, Zifang Huang, Lauren Tooley +6
Consumer speech recognition systems do not work as well for many people with speech diferences, such as stuttering, relative to the rest of the general population. However, what is…