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Someone says "I'm fine." You know they aren't.
You heard it - the pause, the flat tone. Voice AI doesn't. It all gets dropped at transcription.
So we built the Expression Measurement API. 48+ emotions, 600+ descriptors, 50+ languages, audio and video, real-time.
Conversation
Today Hume is introducing Real World VoiceEQ: a benchmark for measuring the human quality of voice AI across 40+ proprietary and open-source models, 15+ dimensions, and 60+ metrics—developed from more than 1 million individual human ratings.
One performance, infinite voices.
Voice Conversion is now live on Hume’s creator studio and API!
Generate the same pacing, pronunciation, and intonation with one recording across any voice you choose.
Hear it for yourself ⬇️
Why are phone numbers so hard for voice AI?📞🤖
Did you know that reading out something as simple as 555-010-2314 is a weirdly difficult task for TTS?
In a recent eval we ran on all the major TTS models, Hume’s Octave 2 comes out at the top with the lowest error rates for
