Hume AI

What is Hume AI?

Hume AI is an empathic AI research lab building multimodal AI with emotional intelligence. They offer advanced AI models like Octave Text-to-Speech (TTS), which is the first LLM for text-to-speech capable of understanding context and predicting emotions, and Empathic Voice Interface (EVI), a real-time, customizable voice intelligence model for fluent, emotionally intelligent conversations. They also provide an Expression Measurement API to analyze expressions in face, voice, and language. Their goal is to create expressive AI voices and interactive personalities, with a strong focus on human well-being and ethical AI development.

How to use Hume AI?

Users can generate AI voices by providing text prompts and describing desired voice identities, qualities, and emotions using Octave TTS. They can also create and interact with real-time synthetic voices and personalities using EVI, which allows for flexible prompting and voice modulation. Developers can access APIs and a full developer platform to integrate these emotionally intelligent voice agents into their own applications.

Hume AI’s Core Features

Octave Text-to-Speech (TTS): LLM for text-to-speech that understands context, predicts emotions, and allows natural language control over emotional delivery and speaking style. Octave Voice Design: Create any AI voice with a brief prompt or evocative script. Empathic Voice Interface (EVI): Real-time, customizable voice intelligence for applications, capable of fluent conversation, understanding user tone, and generating appropriate tone. Expression Measurement API: Measures expression in the face, voice, and language. Conversational Voice: Full developer platform for deploying emotionally intelligent voice agents. Voice Modulation: Adjust EVI 2’s base voices along continuous scales (femininity, nasality, pitch). Emergent multilingual capabilities (EVI).

Hume AI’s Use Cases

• Generating expressive AI voices for podcasts, voiceovers, and audiobooks.
• Deploying emotionally intelligent voice agents in any application.
• Creating interactive personalities for customer service, virtual assistants, or entertainment.
• Real-time conversational AI for enhanced user experiences.
• Measuring and analyzing emotional expression in various media.