Actually, today&#x27;s speech recognizers are really good and ones like Google&#x27;s have accuracy &gt;90%. So writing a speech recognizer ourselves with 50% accuracy and training it endlessly without ever reaching Google SR&#x27;s accuracy sounded like a terrible &#x27;reinvent-the-wheel&#x27; idea.<p>Instead, we wrote algorithms that further boosted the accuracy of the existing speech recognizer with machine-generated phonetic dictionaries. (You can think of it as standing on the shoulders of giants). The plan is to work with a couple of partners to train our machine learning system for their products to really bump up SR accuracy.<p>If you&#x27;re building an app that&#x27;s going to go live, send us a message, we&#x27;d be happy to work with you (for free!)