Voice recognition technology often demonstrates gender biases. These systems may be better at recognizing and processing voices that match the gender of the voices used in their training data, typically male. This can lead to frustration and inaccessibility for users of other genders, reflecting and contributing to a technology space that does not equitably serve all users.
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