Hume

Hume

💎FREEMIUM
Voice

Hume.ai is an AI research lab and platform specializing in emotionally intelligent voice AI, offering advanced text-to-speech (Octave) and speech-to-speech (EVI - Empathic Voice Interface) models that understand context, emotions, tone, and prosody to generate highly expressive, human-like voices for applications like conversational agents, audiobooks, podcasts, customer support, and gaming.

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Key Features

  • Empathic Voice Interface (EVI): Real-time speech-to-speech AI that detects user emotions from voice (tone, rhythm, timbre), responds with appropriate empathy, natural interruptions, and expressive tones; supports low-latency conversations (<300ms) and integration with external LLMs (e.g., Claude, Grok, GPT).
  • Octave Text-to-Speech: Multilingual (11+ languages including English, Spanish, Hindi, Arabic) TTS engine that predicts emotions, cadence, and nuances from text context for studio-quality, expressive audio output.
  • Voice Creation Tools: Prompt-based voice design, quick voice cloning (from ~30s recordings), and a library of preset voices for custom personalities, accents, and styles.
  • Developer-Friendly APIs/SDKs: Easy integration via WebSocket for real-time apps; configurable behaviors, chat history, and controls for building AI companions, customer service bots, or immersive experiences.
  • Content Creation Features: Tools for generating multi-character audiobooks from PDFs, podcasts, video voiceovers, and multi-speaker dialogues.
  • Use Cases: Conversational AI (e.g., empathetic customer support), media production (audiobooks/podcasts), gaming/VR characters, accessibility tools, and enterprise phone agents.
  • Performance & Innovations: Frontier models like EVI 3 (most realistic speech-to-speech) and Octave 2; focuses on emotional intelligence via proprietary eLLM (empathic large language model) for more natural, satisfying interactions.
  • Accessibility: Playground demos, documentation, and platform for testing; aimed at developers, creators, and enterprises.
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