For voice-model builders
Build voice models that understand more than words.
The improvement loop in days, not weeks: evaluate, find the failure, fix it, prove it.
Change by factor
- Acting
- +18
- Expressiveness
- +19
- Voice identity
- +11
- Language stability
- +19
- Reliability
- -8
- Long-form
- +18
Every voice modality fails differently.
Whatever your model does with voice, Hume helps you curate the right data, evaluate what people actually notice, and improve where it counts.
Text to speech
Ship voices that sound natural, expressive, and consistent, measured directly, not inferred from word error and latency.
Measure each dimension directly, then turn the weak ones into targeted training data and a repeatable checkpoint suite.
- Acting & role fit
- 52 out of 100
- Expressiveness
- 48 out of 100
- Voice identity
- 72 out of 100
- Language stability
- 58 out of 100
- Reliability
- 74 out of 100
- Long-form stability
- 44 out of 100
- Acoustic quality
- 84 out of 100
Illustrative evaluation
Trusted by
5 of the 7 leading AI labs
- Languages supported
- 50+
- Speech samples
- 100M+
- Emotion science research
- 10+ years
Build with richer voice data.
Audio Pipeline
Turn raw audio into model-ready intelligence.
Raw audio in, searchable corpus out: segmented, transcribed, and labeled by speaker, language, and expression. Find the rare cases you need.
Prism PipelineInteraction Generation
Generate targeted voice data.
Run live human-to-model conversations against the personas and edge cases you’re missing. Generate targeted data with consent built in.
User Testing APIHuman Judgment
Add human ground truth.
Screened multilingual raters score what automated graders miss: warmth, role fit, authenticity. Use it as preference data or to calibrate your judges.
Human Feedback APIEvaluate voice. Improve every checkpoint.
Run simulated conversations against accents, noise, interruption, and edge cases, tailored to the scenarios and behaviors you need to evaluate.
