×
Hume Launches ‘EVI 2’ AI Voice Model with Emotional Responsiveness
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

Hume’s EVI 2: A leap forward in AI voice technology: Hume, an AI startup, has unveiled Empathic Voice Interface 2 (EVI 2), a significant upgrade to its AI voice model and API, offering enhanced naturalness, emotional responsiveness, and customizability.

Key improvements and features: EVI 2 brings substantial enhancements over its predecessor, addressing critical aspects of AI voice interaction.

  • The new version boasts a 40% reduction in latency, with response times ranging from 500 to 800 milliseconds, greatly improving real-time conversation capabilities.
  • EVI 2 demonstrates improved emotional intelligence, better understanding and responding to the emotional context of user inputs.
  • The system now allows for customizable voices, enabling adjustments to voice parameters without the need for voice cloning.
  • Users can modify the AI’s speaking style dynamically during conversations through in-conversation prompts.
  • While currently supporting English, EVI 2 has plans to expand its multilingual capabilities in the future.

Technical advancements: The core technology behind EVI 2 represents a significant step forward in AI voice processing.

  • EVI 2 converts audio signals directly into tokens, a method similar to OpenAI’s GPT-4o, potentially improving efficiency and accuracy in voice recognition and processing.
  • The system allows for direct integration within apps, eliminating the need for separate voice assistants and potentially streamlining user experiences.

Cost-effectiveness and pricing: Hume has made EVI 2 more accessible to developers and businesses through competitive pricing.

  • The new version is priced at $0.072 per minute, marking a 30% reduction from its predecessor.
  • Enterprise users can benefit from volume discounts, making it more attractive for large-scale implementations.

Additional offerings and APIs: Alongside EVI 2, Hume provides complementary tools to enhance voice and expression analysis.

  • The Expression Measurement API, starting at $0.0276 per minute for video with audio, measures various aspects of communication including speech prosody and facial expressions.
  • Hume offers a Custom Models API with free model training, with inference costs matching those of the Expression Measurement API.

Future roadmap and industry positioning: Hume has outlined ambitious plans for EVI 2’s future development and market positioning.

  • The company aims to expand language support, further improve the naturalness of voice outputs, and enhance overall reliability.
  • Hume is positioning EVI 2 to work seamlessly with other large language models and integrate with tools like web search, potentially broadening its applicability and market reach.

Implications for AI voice technology: EVI 2’s launch signals a potential shift in the AI voice interaction landscape, with implications for various industries.

  • The improved emotional responsiveness and customizability could lead to more natural and engaging AI-human interactions in customer service, healthcare, and entertainment sectors.
  • The reduced latency and costs may accelerate the adoption of AI voice technologies in a wider range of applications and businesses.
  • As EVI 2 integrates with other language models and tools, it could contribute to the development of more sophisticated and versatile AI assistants.
Who needs GPT-4o Voice Mode? Hume’s EVI 2 is here with emotionally inflected voice AI and API

Recent News

‘Heretic’ film directors include anti-AI disclaimer in film credits

Hollywood directors' anti-AI stance reflects growing concerns about automation in creative industries and its potential impact on jobs.

AI at the edge: Key architecture decisions for future success

Edge intelligence brings AI processing closer to data sources, enabling faster and more reliable decision-making across industries.

Why new AI data centers may spike Americans’ electricity bills

The growing energy demands of AI data centers are causing electricity costs to rise for consumers in some parts of the U.S., highlighting the unintended consequences of rapid technological expansion.