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# Introducing Real World VoiceEQ: Measuring the human quality of voice AI

**[Hugging Face](https://daily.dev/sources/huggingface)** · 5 min read · 2 upvotes · 0 comments

## Summary

Real World VoiceEQ is a new benchmark from Hume AI designed to measure the human quality of voice AI systems beyond traditional metrics like word error rate and latency. It evaluates 40+ proprietary and open-source voice models across 15+ dimensions and 60+ metrics covering ASR, TTS, Speech-to-Speech, and Speech Understanding. Built on over 1 million human ratings, key findings include: voice AI progress is becoming specialized with no single best model, models are better at speaking than listening (often missing paralinguistic cues like tone and hesitation), traditional benchmarks overestimate real-world performance, and human evaluation remains essential as automated SLM-based evaluation falls short on subjective tasks. The benchmark is publicly available as a leaderboard on Hugging Face.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://huggingface.co/blog/real-world-voiceeq>

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---

Tags: [#speech-recognition](https://daily.dev/tags/speech-recognition), [#text-to-speech](https://daily.dev/tags/text-to-speech), [#voice-ai](https://daily.dev/tags/voice-ai)

[View this post on daily.dev](https://daily.dev/posts/introducing-real-world-voiceeq-measuring-the-human-quality-of-voice-ai-ceqodha2j)

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