Speech Craft Analytics Discerns the Speakers Emotional State

---

Attributes such as sentiment, complexity, and transparency are scored.  Markers for deception and bias are quantified.

Vocal Features are extracted and synchronized with words spoken.  Vocal features such as Pitch, Tone, Volume, and Speed are calculated.  These vocal attributes are mapped to human emotional states such as fear, anger, surprise, and confidence.

AI cross-analyzes linguistic and vocal cues to identify concealed emotions like doubt, uncertainty, frustration, confidence, and deception.  Particular attention is given to when the voice attributes are divergent from the words.  An AI score card summarizes the speech and highlights key areas of interest.