Hume AI

What is Hume AI?

Hume AI is an emotional-intelligence research lab and voice AI toolkit. It develops models, datasets, and evaluation services for teams building expressive speech systems. The current product family includes TADA for streaming text-to-speech, Octave for advanced voice creation and transformation, and EVI for real-time speech-to-speech interaction.

The platform's Human Feedback API is designed to evaluate voices and conversations with structured surveys and vetted participants. Hume also supplies curated speech datasets for conversational audio, emotional reproduction, multilingual speech, voice realism, and domain-specific tasks. The site describes coverage for more than 50 languages, over 48 emotions, and more than 600 voice descriptors.

How to Use Hume AI

1. Choose whether the project needs text-to-speech, speech-to-speech interaction, human evaluation, or training data.
2. Select TADA, Octave, EVI, the Human Feedback API, or a curated dataset.
3. Configure the target language, voice characteristics, conversational behavior, and latency requirements.
4. Integrate the selected model or service into the application and test representative user scenarios.
5. Collect structured human feedback on naturalness, emotion, and task performance.
6. Refine prompts, voices, data, and interaction rules before wider deployment.

Core Features

• TADA: An open-source LLM-based text-to-speech model that streams text and audio.
• Octave: A closed-source text-to-speech system for voice design, modulation, cloning, and conversion.
• EVI: A closed-source speech-to-speech system with interruption handling, backchanneling, expressive instructions, and external LLM compatibility.
• Human Feedback API: Uses structured survey templates and vetted participants to evaluate voice AI.
• Curated speech datasets: Covers conversational, emotional, multilingual, realistic, and task-specific audio needs.
• Voice and emotion vocabulary: Supports broad language, emotion, and voice-description coverage.

Use Cases

• Expressive voice assistants: Build assistants that respond with controlled vocal style and conversational timing.
• Voice design: Create or transform a voice for characters, applications, and branded experiences.
• Speech-model evaluation: Measure perceived quality and emotional expression with human feedback.
• Multilingual voice AI: Develop speech experiences across a broad set of languages.
• Model training data: Source curated audio for emotional, conversational, or domain-specific tasks.
• External LLM voice layer: Pair a language model with real-time expressive speech interaction.

Pricing

The analyzed homepage presents models, datasets, and evaluation services but does not state a single standard price. Availability and commercial terms vary by model or service; teams should check the current product documentation and pricing flow for usage-based costs.

Frequently Asked Questions

Is Hume AI only a text-to-speech provider?

No. It also offers speech-to-speech interaction, human-feedback evaluation, and curated speech datasets.

Which model is open source?

The current site identifies TADA as open source, while Octave and EVI are described as closed source.

Can Hume evaluate a voice experience with people?

Yes. The Human Feedback API is designed around structured surveys and vetted participants.