  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 not clear is the degree to which these systems do
not work, how they can be improved, or how much people want to use them. In
this paper, we frst address these questions using results from a 61-person
survey from people who stutter and fnd participants want to use speech
recognition but are frequently cut of, misunderstood, or speech predictions do
not represent intent. In a second study, where 91 people who stutter recorded
voice assistant commands and dictation, we quantify how dysfuencies impede
performance in a consumer-grade speech recognition system. Through three
technical investigations, we demonstrate how many common errors can be
prevented, resulting in a system that cuts utterances of 79.1% less often and
improves word error rate from 25.4% to 9.9%.
