The podcast explores the critical difference between AI understanding text versus truly grasping the nuances of human voice, including tone and intent. Mike Pappas, CEO of Modulate, shares insights on how current AI often reduces voice to mere transcriptions and tokens, missing crucial emotional and contextual cues. Modulate's technology addresses this by enabling AI to detect fraud through voice analysis, identifying synthetic voices by recognizing inconsistencies like changing room sounds or fake background noise. The discussion highlights the Ensemble Listening Model (ELM), which uses multiple models to dynamically analyze emotional characteristics, prosody, and timbre, enhancing AI's ability to understand sarcasm and other complex communication elements. This technology is particularly relevant for customer service, where AI agents need to accurately interpret customer emotions to provide effective support and prevent problematic escalations.
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