2 citations · 2 across the 5 of their papers we have counts for
5 papers
Prompting Whisper for Improved Verbatim Transcription and End-to-end Miscue Detection
Griffin Dietz Smith, Dianna Yee, Jennifer King Chen +1
Identifying mistakes (i.e., miscues) made while reading aloud is commonly approached post-hoc by comparing automatic speech recognition (ASR) transcriptions to the target reading t…
Voice Quality Dimensions as Interpretable Primitives for Speaking Style for Atypical Speech and Affect
Jaya Narain, Vasudha Kowtha, Colin Lea +8
Perceptual voice quality dimensions describe key characteristics of atypical speech and other speech modulations. Here we develop and evaluate voice quality models for seven voice…
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…
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…
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…