As corporations contemplate including voice bots to their customer support, they’re experiencing the identical “Achilles’ heel” with NLU voice bots as they do with chatbots. These points are the next (the fourth one solely applies to voice bots):
- Responding with the incorrect intent
- Transferring to a human agent on account of insecurity, when it ought to have understood the intent from the start
- Responding when it doesn’t should, as an alternative of passing it on to an agent
- Not understanding the shopper and asking, “Sorry, I didn’t get that, are you able to repeat.”
The voice bot wants to know what is alleged first earlier than it could possibly decide intent, route accurately to an agent, or reply the request with a information base AI.
Deepgram is constructed for Conversational Al and voice bots with an Finish to Finish Deep Studying strategy to computerized speech recognition (ASR).
This strategy permits you to resolve for real-time pace at <300 millisecond lag and acquire 90%+ skilled accuracy.
If you wish to attempt Bitext’s coaching information, obtain this free dataset that covers the 27 most typical intents and over 20,000 utterances within the Buyer Service area.
With larger accuracy information from the ASR, you possibly can then dig into optimizing your NLU voicebot with Bitext. Get a snapshot of your NLU voicebot efficiency and discover the foundation reason for incorrect responses or mis-routing.
With the Bitext and Deepgram partnership, corporations can analyze and enhance their complete NLU voicebot platform to both right points or establish weak factors earlier than product launch. Then, we will help create audio and voicebot coaching information to enhance your fashions and observe this enchancment for additional optimization and high quality management.
