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What does it do?

  • Empathic Voice Interfaces
  • Emotion Recognition
  • Customer Service Enhancement
  • Mental Health Support
  • Human-Computer Interaction

How is it used?

  • 1. Integrate EVI API w/ apps
  • 2. Send data for expression analysis
  • 3. Train custom models for predictions
  • 4. Use WebSocket for EVI API
  • 5. Test w/ Playground web app

Who is it good for?

  • Software Developers
  • Healthcare Providers
  • Customer Service Professionals
  • User Experience Researchers
  • Voice Interface Designers

What does it cost?

  • Pricing model : Book Demo / Request Quote

Details & Features

  • Made By

    Hume
  • Released On

    2021-05-16

Hume AI develops multimodal AI technology that focuses on emotional intelligence and human well-being. Their flagship product, the Empathic Voice Interface (EVI), is a voice AI system that responds empathically, designed to align technology with human well-being by understanding and responding to emotional cues in speech.

Key features:
- Empathic Voice Interface (EVI): Conversational voice API powered by empathic AI that measures nuanced vocal modulations and guides language and speech generation.
- Expression Measurement API: Captures nuances in expressions across audio, video, and images, detecting subtle emotional cues like awkward laughter or sighs of relief.
- Custom Model API: Low-code solution for building insights using transfer learning from expression measurement models and empathic large language models (eLLMs).
- Multimodal AI capabilities: Includes voice analysis, facial expression analysis, language analysis, and video analysis.

How it works:
1. Developers integrate Hume AI's APIs into their applications.
2. Users interact with the AI through voice or by sending audio, video, or image data.
3. The AI processes the input, analyzing both content and emotional cues.
4. For EVI, the AI generates empathic responses using its eLLM and speaks back to the user with appropriate tone and expression.
5. For other APIs, the system returns detailed analysis of expressions and emotions or custom predictions.

Integrations:
Other large language models like GPT and Claude, custom text generation tools or servers

Use of AI:
Hume AI leverages generative AI through an empathic large language model (eLLM) for EVI, custom AI models for expression measurement, and transfer learning techniques for custom model development.

AI foundation model:
Hume AI has developed their own empathic LLM, which forms the basis of their EVI product.

Target users:
- Developers building voice interfaces or emotion-aware applications
- Customer service and support industries
- Healthcare and mental health sectors
- Entertainment and gaming industries
- Market research and user experience professionals
- Robotics and human-computer interaction researchers

How to access:
Hume AI's technology is primarily accessible through APIs (WebSocket for EVI, REST for other services). They also offer a web app (Playground) for testing and configuration, and a mobile app for iOS.

Applicable Industries:
Technology, Healthcare, Customer Service, Entertainment, Market Research, Education, Robotics, Automotive (for driver state monitoring)

  • Supported ecosystems
    iOS, Apple
  • What does it do?
    Empathic Voice Interfaces, Emotion Recognition, Customer Service Enhancement, Mental Health Support, Human-Computer Interaction
  • Who is it good for?
    Software Developers, Healthcare Providers, Customer Service Professionals, User Experience Researchers, Voice Interface Designers

PRICING

Visit site
Pricing model: Book Demo / Request Quote

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