Category: AI

Real-time sentiment analysis for voice uses AI to detect emotional cues – like tone, pitch, and pace – as conversations unfold. Unlike post-call analysis, this technology helps teams respond to emotion in the moment. In a recent proof of concept with a financial services organization, recognizing live sentiment enabled more empathetic, effective interactions. While the tech runs on AI models like STT and NLP, the impact is deeply human: better conversations, stronger connections, and smarter decisions.

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