The data behind human voices.

Voice datasets

• 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

• Speech Prosody audio
  Annotated speech rhythm, stress, and intonation across diverse speakers and emotional contexts.
• Vocal Expression audio
  Voice timbre, resonance, and vocal quality labeled across 48 emotion dimensions.
• Vocal Bursts audio
  Laughter, sighs, gasps, and non-verbal vocalizations categorized by type and emotional context.
• FACS 2.0 visual
  Facial Action Coding System data with precise action-unit annotations and intensity scoring.
• Dynamic Reaction audio + visual
  Temporal expression sequences capturing how facial and vocal responses change over time.
• Facial Expression visual
  Cross-cultural facial emotion samples spanning 48 expression categories and varied lighting.
• Language text
  Text annotated for emotional expression, sentiment, and content safety across languages.

Catalog referenced from published research-library descriptions (Hume AI). All source datasets are research-licensed; HUible catalogs the taxonomy and licenses data through proper research channels.