Hume AI provides voice AI models powered by emotional intelligence for developers and enterprises. Their toolkit includes expressive text-to-speech, empathic voice interfaces, and multimodal expression measurement capabilities. This platform enables the creation of highly realistic and emotionally nuanced audio content for applications like audiobooks and conversational agents.
Funding
$79.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
LFounders
Product
Problem
Many current voice interfaces lack the ability to understand and respond appropriately to human emotions, leading to impersonal and less engaging user experiences. Existing systems often fail to adapt their tone and speaking style to match the user's emotional state, resulting in interactions that feel robotic and unnatural.
Solution
Hume AI offers the Empathic Voice Interface (EVI 2), a voice-to-voice AI model designed to understand and generate a wide range of vocal expressions and personalities. EVI 2 can rapidly converse, analyze a user's tone of voice, and adapt its own voice output to match or complement the detected emotion. This allows applications to create more personalized and emotionally intelligent interactions, enhancing user engagement and satisfaction. The model can emulate diverse personalities, accents, and speaking styles, and can be integrated with or replace existing Large Language Models (LLMs).
Target Audience
The primary target audience includes developers and organizations building AI-powered applications that require emotionally intelligent voice interfaces, such as NPC assistants, coaches, agents, tutors, clinicians, and app UIs.
Features
- Voice-to-voice AI model architecture for real-time conversation and voice modulation.
- Empathic AI trained to understand and respond to a wide range of human emotions expressed through voice.
- Customizable voice modulation tools to adjust characteristics such as femininity, nasality, and pitch.
- Ability to emulate diverse personalities, accents, and speaking styles.
- Integration capabilities with existing LLMs, TTS (Text-to-Speech) systems, and external APIs.
- Support for nonverbal vocalizations and the creation of novel vocal expressions.
- Developer platform with API keys, usage monitoring, and interactive product exploration.
- Developer resources including documentation, tutorials, and a community forum.