Sensory’s custom trained speech recognition models understand the unique linguistic patterns associated with children’s speech. The recognizer designed for kids’ voices, supports both Sensory’s TrulyHandsfree phrase spotting technology and TrulyNatural large vocabulary continuous speech recognizer.
With this technology advancement developers of apps, children’s toys, kid’s wearables, and education technology can implement voice control technology with unparalleled accuracy and privacy due to Sensory’s AI-on-the-edge architecture.
Accurately recognizing children’s speech is challenging because it differs from adult speech in many ways. A scarcity of available training data makes this problem even more difficult to solve. Over many years Sensory collected and analyzed significant amounts of children’s speech to better understand and model the specifics of how children talk. Initial testing on a corpus of spontaneous kid’s speech, reveals up to a 33% reduction in word error rate, when compared to an adult speech recognition model.
Developers can now access child speech models, as well as Sensory’s industry-leading adult speech models, within Sensory’s VoiceHub developer portal. The flexibility of VoiceHub enables direct export to many supported DSP and microcontroller formats, including the newly added Generalplus ICs.
