Imagine a voice system in a classroom that responds accurately to half of the students but misunderstands the accents and dialects of the other half. An experience like this has huge negative implications for individual kids and deepens issues of equity and bias in the classroom and far beyond.
Voice technology in the preK-12 classroom must understand all students equally and objectively. SoapBox has set the benchmark for accuracy in speech recognition software for children, and that includes catering to globally diverse accents and dialects.
Our acoustic models are trained on kids’ accents and dialects from 193 countries, and can accommodate unique or custom pronunciations for any population. The SoapBox voice engine has been independently validated to show no bias across race, accent, and socioeconomic backgrounds. (Search “Accuracy” in our FAQ for more information on clients’ independent evaluations of our voice engine.)
To learn more about how our voice engine delivers accuracy for preK-12 education, fill in our Get Started form, and we’ll be in touch to schedule a call.