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Taxonomy DetailsIncident Number
102
Notes (special interest intangible harm)
Voice recognition software's performance varied depending on the speaker's regional accents and race. Speech recognition performed worse for African American vernacular.
Special Interest Intangible Harm
yes
Date of Incident Year
2020
Risk Subdomain
1.3. Unequal performance across groups
Risk Domain
- Discrimination and Toxicity
Entity
AI
Timing
Post-deployment
Intent
Unintentional
Incident Reports
Reports Timeline
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Speech recognition systems have more trouble understanding black users’ voices than those of white users, according to a new Stanford study.
The researchers used voice recognition tools from Apple, Amazon, Google, IBM, and Microsoft to tran…

Automated speech recognition (ASR) systems are now used in a variety of applications to convert spoken language to text, from virtual assistants, to closed captioning, to hands-free computing. By analyzing a large corpus of sociolinguistic …
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