Voice interface technologies help solve two major design problems – recognition and understanding.
Recognition is the part of technology that applies to converting Speech to Text, while Understanding refers more to the semantics and the ability provided to computers to comprehend and attach context specific meaning to the spoken words to take action.
While the vendor Speech and Language Understanding Services are good with regular English vocabulary, the biggest challenge for enterprises to achieve reliable and predictable accuracy levels is in handling specialized vocabulary in their own domain, its usage in day-to-day operations by their staff.
How did we achieve the desired accuracy levels in the smart transcription?
We are a Conversational AI startup, driven by passion to build great software solutions for our customers. As machines become increasingly proficient in the language we speak, we see Conversations, in Voice and Text, as the primary mode of providing and consuming services. We help our customers build the next generation Conversational AI Applications that primarily use Language as the Interface. Our platform and applications, primarily offered as a low-code offering and our belief in modern, lean software engineering principles helps our customers with higher effectiveness and time to market.
How can we help you build the next great Conversational app that your customers would love?