General AI managed only 70% accuracy on South African dialects. Custom training raised recognition of accents and jargon to >90%.
A low-code conversational AI platform builds voicebots for contact centers in linguistically diverse markets like South Africa, which recognizes 11 official languages.
General market models achieved only 70% accuracy across these various dialects, causing bots to get stuck in error loops that frustrated callers....
“For Conversational AI voicebots, it all starts off with speech recognition. If you don’t understand what the person said and transcribe it to text accurately, you are not in the game. Unfortunately, the general ASR models standardize around 70% accuracy, and it is just not good enough to respond to a caller with real-time accuracy and relevance. Our partnership with Deepgram and their models in conjunction with our internal models that are trained on case-specific data get well over 90% accuracy.”
Conversational AI platform for automated voice and digital customer engagement.
Voice AI platform for speech-to-text, text-to-speech, and conversational agents.
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