Training Data - Voice & Expression Datasets Built by Researchers | Hume AI | Hume AI

Voice Training Data Built by Researchers, for Researchers

Datasets for creating realistic voices across global languages, powering our own state-of-the-art models, and now available to power yours.


50+ Languages

48+ Emotions

600+ Voice Descriptors

Voice AI Datasets

Covering the Full Spectrum of Voice

Conversational Audio

Turn-taking, interruptions, and multi-speaker dynamics.

Emotional Reproduction

Fine-grained annotations across a wide range of expressive speech.

Multilingual Audio

Native speaker recordings across global languages and dialects.

Voice Realism

Prosody, intonation, pacing, and expressive range.

Domain-Specific

Industry contexts like healthcare, education, and customer service.

Task-Specific

Conversations for assistants, support, tutoring, and research.

Expression & Multimodal

Datasets for expression measurement and analysis

Purpose-built for training expression analysis models across face, voice, and text. The same data behind our peer-reviewed research and production models.

Speech Prosody

Annotated speech rhythm, stress, and intonation patterns across diverse speakers and emotional contexts.

Vocal Expression

Voice timbre, resonance, and vocal quality samples labeled across 48 emotion dimensions.

Vocal Bursts

Laughter, sighs, gasps, and non-verbal vocalizations categorized by type and emotional context.

FACS 2.0

Facial Action Coding System data with precise action unit annotations and intensity scoring.

Dynamic Reaction

Temporal expression sequences capturing how facial and vocal responses change over time.

Facial Expression

Cross-cultural facial emotion samples spanning 48 expression categories and varied lighting conditions.

Language

Text samples annotated for emotional expression, sentiment, and content safety across multiple languages.


How It Works

From Research Question to Production-Ready Data

Hume operates a research-grade data pipeline purpose-built for voice.

  1. Request Samples
    Start with curated speech datasets from our library.

  2. Create Your Own
    Launch custom collections with defined speakers and recording conditions.

  3. License Access
    Datasets include rich metadata: demographics, acoustics, and labels.

  4. API Access
    Programmatically refresh or generate new training data.


Ready to explore our training data?

Talk to our research team about how Hume's datasets can accelerate your voice and emotion AI development.


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