Incident 102: Personal voice assistants struggle with black voices, new study shows
Description: A study found that voice recognition tools from Apple, Amazon, Google, IBM, and Microsoft disproportionately made errors when transcribing black speakers.
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Incident ID
102
Report Count
2
Incident Date
2020-03-23
Editors
Sean McGregor, Khoa Lam
Incident Reports
Reports Timeline
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theverge.com · 2020
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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…
pnas.org · 2020
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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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