About
Hume AI is a pioneering emotional intelligence lab and toolkit for voice AI developers, backed by decades of multimodal research. The platform provides a comprehensive suite of tools—open-source and closed-source models, curated speech datasets, and evaluation APIs—designed to embed emotional intelligence into voice AI at scale. At the core of Hume AI's offerings are three flagship products: **TADA**, an open-source LLM text-to-speech system that streams text and audio simultaneously to reduce hallucinations and latency; **Octave**, a closed-source TTS system with voice design, modulation, cloning, and conversion capabilities; and **EVI**, a closed-source LLM Speech-to-Speech system featuring interruptibility, back channeling, expressive instruction following, and compatibility with external LLMs. The **Human Feedback API** lets developers run rigorous, science-backed evaluation studies using a global pool of vetted participants, delivering human preference data in hours rather than weeks. The **Data Library** offers curated speech datasets covering conversational audio, fine-grained emotional annotations across 48 emotions, multilingual recordings in 50+ languages, voice realism metrics, and domain-specific datasets for healthcare, finance, gaming, and more. Hume AI is ideal for voice AI developers, AI researchers, and enterprise teams building emotionally intelligent assistants, multilingual voice applications, and sophisticated conversational AI systems. The combination of state-of-the-art models, high-quality annotated training data, and rigorous human evaluation pipelines makes it a complete platform for serious voice AI development.
Key Features
- EVI Speech-to-Speech System: Closed-source LLM-powered Speech-to-Speech model with interruptibility, back channeling, expressive instruction following, and compatibility with external LLMs.
- TADA Open-Source TTS: An open-source LLM text-to-speech system that streams text and audio together, reducing hallucinations and latency for real-time voice applications.
- Human Feedback API: Science-backed survey templates and a global pool of vetted participants to collect unbiased human preference data on voice model quality in hours, not weeks.
- Curated Speech Dataset Library: Access high-quality annotated datasets covering 50+ languages, 48+ emotions, conversational audio, and domain-specific audio for healthcare, finance, gaming, and more.
- Octave Voice Design & Cloning: Closed-source advanced TTS system offering voice design, voice modulation, voice cloning, voice conversion, and expressive output controls.
Use Cases
- Building emotionally aware voice assistants and conversational AI agents that respond naturally to user sentiment
- Training and fine-tuning voice AI models using high-quality, annotated multilingual speech datasets
- Running human evaluation studies on voice model quality using the Human Feedback API for faster iteration cycles
- Developing enterprise voice applications in healthcare, finance, or customer support with domain-specific audio datasets
- Integrating open-source TTS and speech-to-speech models into production pipelines via API for real-time voice AI products
Pros
- Deep Research Foundation: Backed by decades of multimodal emotional intelligence research spanning 50+ languages, 48+ emotions, and 600+ voice descriptors—far beyond typical TTS platforms.
- Open-Source Model Availability: TADA is openly available on Hugging Face, enabling the community to train, fine-tune, and build on state-of-the-art voice AI without licensing barriers.
- Fast, Reliable Human Evaluation: The Human Feedback API delivers vetted participant feedback in hours, replacing slow and expensive traditional human evaluation workflows.
- Comprehensive Multilingual Support: Native speaker recordings and emotional annotations across 50+ languages make it suitable for global, production-grade voice AI products.
Cons
- Key Models Are Closed-Source: The most powerful offerings—Octave and EVI—are closed-source, limiting transparency and customization for developers who need full control.
- Primarily Developer-Focused: The platform is oriented toward technical teams and researchers; non-developers or teams without voice AI expertise may face a steep learning curve.
- Dataset and API Costs Unclear: Pricing details for the full Data Library and Human Feedback API are not publicly listed, which may present challenges for budget planning at smaller organizations.
Frequently Asked Questions
What is EVI and how does it differ from standard TTS?
EVI is Hume AI's closed-source LLM Speech-to-Speech system. Unlike standard TTS that simply converts text to audio, EVI supports real-time conversation features like interruptibility, back channeling, expressive instruction following, and integration with external LLMs—making it suitable for full conversational AI experiences.
Is any part of Hume AI free to use?
Yes. TADA, Hume AI's LLM text-to-speech system, is open-source and available on Hugging Face at no cost. Closed-source products like Octave and EVI, as well as the Human Feedback API and full Data Library, may require paid access.
How many languages and emotions does Hume AI support?
Hume AI's research and datasets cover 50+ languages with native speaker recordings and 48+ core emotions with fine-grained annotations, along with 600+ voice descriptors for prosody, intonation, and expressive range.
How quickly does the Human Feedback API return results?
The Human Feedback API is designed for fast turnaround—human preference data is typically delivered within hours rather than the weeks that traditional human evaluation studies require.
What industries are the speech datasets designed for?
The Data Library includes domain-specific datasets tailored for healthcare, finance, gaming and esports, education, business, politics, entertainment, and more, as well as task-specific data for scheduling, customer support, and onboarding workflows.
