Voice Analysis

Levels of vocalized emotion, from engagement to distress, in any verbal interaction

Mathematical models translate subtle cues in speech features (e.g. pitch, talk time, entropy, harmonics) into meaningful patterns (e.g. speaker’s consistency in tone, level of engagement or distress in the conversation) to infer psychological state.

Voice analysis software is used to detect specific patterns in vocal recordings in real-time.

Ability to uniquely measure vocal engagement without relying on content analysis.

Requires vocalized responses.

Any verbal interaction experience, such as interviews, conversation, or reaction to entertainment.