Generic ASR Will Never Be Accurate Enough for Conversational AI
Presented by Deepgram
@ RE•WORK Conversational AI & NLP SummitPress Play
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.
In this session, you will learn...
- Why Conversational AI requires intent
- How to correctly choose the intended parts of a conversation
- How to make ASR conversational
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