What is Hume AI?

Hume AI is an AI product focused on developing technology that understands human emotions and expressions, providing real-time, customizable voice intelligence APIs. Its flagship product, Hume EVI, is the world's first empathetic AI voice interface. EVI combines the language understanding of large language models with the emotional perception capabilities of expression measurement technology, enabling it to understand and respond to user emotions, providing a genuine conversational experience. Hume AI's technology allows developers to easily integrate emotional intelligence AI into applications, suitable for healthcare, AR/VR, customer service, and other fields, using technology to improve human emotional experiences and well-being.

Main Features of Hume AI

• Emotion Recognition and Response: Based on the analysis of voice and facial expressions, it recognizes various emotional states of users and provides corresponding responses.
• Emotion Simulation: Simulates different emotional states, making interactions with users more vivid.
• Natural Conversation: Short conversation delays, using tone words in conversations, making it feel like a real person is thinking and listening.
• Emotion Visualization: Displays emotional curves in real-time during conversations, visually showing emotional changes.
• Designing Synthetic Voices and Personalities: Hume AI provides tools that allow users to adjust the base voice of EVI 2, including femininity, nasality, pitch, and other continuous scales.

Emotional Expression of Hume AI

• Speech Prosody: Hume AI can detect over 25 types of intonation, rhythm, and timbre patterns, injecting complex, mixed meanings into everyday speech. Recognizable emotions include entertainment, anger, embarrassment, boredom, calmness, confusion, contempt, desire, determination, distress, fear, guilt, horror, pain, pride, sadness, surprise, and tiredness.
• Vocal Expressions: Distinguishes 28 types of vocal expressions considered to convey different meanings and their various combinations. These include admiration, entertainment, anger, awe, confusion, contempt, contentment, desire, disappointment, disgust, distress, ecstasy, embarrassment, excitement, fear, horror, interest, joy, pain, realization, relief, sadness, surprise, sympathy, tiredness, etc.
• Voice Call Types: Infers the probability of 67 descriptors (such as "laugh," "sigh," "scream," "oh," "ah," "hmm," etc.) to explore vocal expressions.
• Facial Expressions: Distinguishes 37 types of facial actions considered to convey different meanings and their various combinations. These include admiration, adoration, aesthetic appreciation, anger, anxiety, awe, calmness, contempt, contentment, craving, desire, determination, disappointment, distress, doubt, ecstasy, embarrassment, empathic pain, entrancement, envy, excitement, fear, etc.
• Facial Expression Motion Capture: Improved automated Facial Action Coding System (FACS): measures 26 facial action units (AU) and 29 other features, with even less deviation than traditional FACS.
• Dynamic Responses: Measures dynamic patterns of facial expressions over time, correlating with over 20 different reported emotions. These include admiration, adoration, aesthetic appreciation, entertainment, anxiety, awe, boredom, calmness, concentration, contemplation, confusion, contentment, craving, disgust, distress, empathic pain, envy, excitement, fear, guilt, horror, interest, joy, love, etc.

Official Website of Hume AI

• Official Website: hume.ai

Application Scenarios of Hume AI

• Customer Service and Call Centers: Provides more humane customer support, understanding customer emotions to offer more effective service.
• Health and Wellness: Assists in identifying patients' emotional states in mental health assessments and interventions, providing corresponding emotional support.
• Education and Training: Acts as a virtual teaching assistant or teacher, adjusting teaching methods based on students' emotional responses, offering personalized learning experiences.
• Entertainment and Gaming: Provides more realistic and immersive interactive experiences in video games and virtual reality (VR) experiences.
• Smart Homes and IoT: Integrates into smart home devices, understanding and responding to users' emotions, offering more personalized home management.