![]() ![]() We’ve seen our accuracy hugely improve and the gaps plummet when it comes to adults and children, thanks in large part to an introduction of self-supervised learning (SSL) into our training.īefore SSL, there was a frustratingly large unavailability of data to train on. Why children should be watching TV with the subtitles onĪnd that’s exactly what we’ve done at Speechmatics. All of this, historically, leads to children’s voices being disproportionately failed by a technology that focused primarily on adults. As reported by TechCrunch, children can hit different parts of words to adults, they can over-enunciate, punctuate differently and carry fewer common cadences. It’s not just the obvious difference in pitch, but the patterns themselves, which often trip up voice recognition. This process of trial and error is one of many reasons why current voice recognition isn’t as accurate with children as it is adults.īut children’s voice differs from adults in a variety of ways too. When they repeat them, they do so in different ways, getting used to the sounds these words make. While adults have heard most everyday words time and time again – and used them just as much – most children discover new ones practically every day. We take for granted that children are continually learning to speak way beyond those early years. ![]() Seen But Not HeardĪt around the age of 2, far too often we bracket children into “those who speak” and “those who don’t”. This forced teachers and students alike to become familiar with scanning documents, hosting online sessions, and other unfamiliar technologies – transcription software included. This home learning was replicated all over the world, with at least 210 countries and billions of students affected by the pandemic and stay-at-home orders. ![]()
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