What is Hume AI?
Hume AI's flagship product, EVI 2, represents a breakthrough in voice-to-voice AI model architecture. The platform enables real-time conversations with emotional intelligence, offering the ability to understand and generate various tones of voice, personalities, and speaking styles.
The technology features innovative voice modulation capabilities, allowing users to adjust over 10 base voices along continuous scales including femininity, nasality, pitch, and other parameters. EVI 2 is designed with a focus on human well-being and emotional intelligence, making it suitable for creating trusted AI voices while adhering to The Hume Initiative's empathic AI guidelines.
Features
- Real-time Voice Processing: Rapid and fluent conversation capabilities
- Emotional Intelligence: Understanding and adaptation to user's tone of voice
- Customizable Voices: Adjustable voice parameters across 10+ base voices
- Personality Emulation: Wide range of customizable AI personalities
- LLM Integration: Capability to replace or integrate with language models
- Voice Modulation: Control over femininity, nasality, pitch, and other parameters
- Multilingual Support: Emergent capabilities in multiple languages
Use Cases
- Virtual Assistant Development
- Customer Service Applications
- Educational Platforms
- Interactive Voice Interfaces
- AI Personality Creation
- Voice-Based Applications
- Coaching and Tutoring Systems
FAQs
-
What is EVI 2?
EVI 2 is Hume AI's flagship voice-to-voice AI model that can converse rapidly and fluently, understand user's tone of voice, and generate various tones while emulating different personalities and accents. -
How can developers customize the voice output?
Developers can adjust EVI 2's 10+ base voices along continuous scales including femininity, nasality, pitch, and other parameters using flexible prompting and voice modulation tools. -
What languages does EVI 2 support?
EVI 2 has emergent multilingual capabilities, allowing it to communicate in multiple languages.
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Hume AI Uptime Monitor
Average Uptime
99.84%
Average Response Time
162.87 ms
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