Wednesday, October 20Digital Marketing Journals

Debiasing Speech Recognition Systems for Kids | by SoapBox

Image says, “Dibiasing.” In the background is a silhouette of a person’s head, and the image also includes some fun colourful shapes.

Welcome to Lesson 4 in our “Lessons from Our Voice Engine” series, featuring high-level insights from our Engineering and Speech Tech teams on how our voice engine works. This lesson is from Dr. Amelia Kelly, VP of Speech Technology.

What is debiasing?

Debiasing is the conscious and intentional process of counteracting inherent biases that are found in databases and artificial intelligence systems.

Intentional processes, such as utilizing a varied, diverse, and proportionately representative dataset of voices to train machine learning algorithms, can reduce or remove the presence of unintended bias in voice technologies.

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Why is debiasing important for our voice engine and AI systems in general?

For example, if a biased system fails to understand a child’s accent or dialect, it can consistently tell that child he or she is a poor reader when, in fact, they are reading correctly. An unbiased system, on the other hand, can offer fair and uncompromised information to facilitate edtech platforms and services. AI companies need to make a concerted effort to debias their technology.

Catch up on our previous “Lessons from Our Voice Engine”:

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