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Research into Siri, Alexa, Google Assistant voice tech reveals bias in training data

March 24, 2020

These types of systems are commonly used in digital assistants like Siri, as well as tools like closed captioning and hands-free controls. But, as with any machine learning system, their accuracy is only as good as their dataset.

Automated speech recognition (ASR) systems developed by companies like Apple, Google and Facebook tend to have higher error rates when transcribing speech from African Americans than white Americans, according to a Stanford University study published in Proceedings of the National Academy of Sciences.

Researchers carried out 115 human-transcribed interviews and compared them to ones produced by speech recognition tools.

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