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Project Euphonia's Personalized Speech Recognition for Non-Standard Speech
Google Research, Google Research blog, 2019
Read the originalRead on October 16, 2026
- What it is
- Google's research blog post on Project Euphonia, its effort to make speech recognition work for people with ALS, cerebral palsy and heavy accents. It explains why standard recognizers fail on atypical speech and summarizes the 2019 personalization study.
- How much weight it carries
- Written by the company that built the system, so it is a fair account of the research but not an independent check. Its statistics about ALS come from Google's own summary and are not sourced to an epidemiology study.
Facts taken from this source
- Google reports that about 25 percent of people with ALS first notice slurred speech as their first symptom.
“about 25% of people with ALS experiencing slurred speech as their first symptom” (Introduction)
- Google states that automatic speech recognition systems are most often trained on typical speech, so people with speech impairments or heavy accents do not get the same benefit.
“ASR systems are most often trained from 'typical' speech” (Introduction)
Pages that rest on this source
- Speech Recognition for Stuttering and DysarthriaGuide
- Dictation Languages: What Each App and Device SupportsGuide
- Speech Recognition and Accents: Accuracy and FixesGuide
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- Why does iPhone dictation spell my name wrong?Question
- Why doesn't voice recognition understand my accent?Question