Generic ASR Will Never Be Accurate Enough for Conversational AI

Most conversational AI use cases don’t actually need text, they need intent. That is why there are challenges in providing ASR to conversational models. Was that speaker part of the conversation or were they just background that should be ignored? Should the model have transcribed ‘Hey Frank! Make sure pineapple is on there!’ or is that an error? A core issue is that ASR not only provides a transcript, it also decides things like what was part of the conversation and what wasn’t. Learn why one-size-fits-all ASRs lack understanding of intent and context and why a domain-targeted ASR is essential for Conversational AI.