About Soapbox Labs

SoapBox caters to kids’ unique voices, speech patterns, behaviors, and environments.

Most automatic speech recognition technology (ASR) has been built using predominantly adult voice data, and models the predictability of adult language, speech patterns, and behaviors. These pre-trained systems perform poorly with more challenging demographics like kids, and the younger the child the poorer they perform. These systems have also been proven to suffer from bias.

To be effective as an educational tool, speech recognition systems need to offer human-level accuracy down to the phoneme-level, for kids of all ages, in noisy environments. For entertainment experiences such as gaming and the Metaverse, for example, voice technology needs to accommodate the unique challenges of colloquial language, brand names, and noisy, emotive and “distracted” speech.

At SoapBox, we’ve re-imagined and redesigned every step in the speech recognition development process to build a proprietary, privacy-first, and highly accurate voice engine that works for kids ages 2 years and up. Our kid-specific focus has allowed us to achieve the highest levels of accuracy and to mitigate bias in relation to ages, accents, and dialects. According to the independent evaluations of our many clients, SoapBox’s voice engine performs on a par, or surpasses human-level accuracy.

Accurate

Human-level accuracy down to the individual phoneme.

Flexible & customizable

Many use cases available off-the-shelf. Partner with us for bespoke solutions.

Easy integration

Lightweight and low-code API, integrates within hours.

Online / offline / embedded

Flexible delivery options tailored to your use case.

• Works for all ages and accents
• Has equity and privacy built in
• Delivers accuracy on par with educators
• Built for PreK-12 use cases
• Returns phoneme-level speech-to-text data
• Flexible off-the-shelf and bespoke offerings