Benchmark Almanac

Hume AI Voice Design Benchmark

Listeners rate generated voices for English voice design, multilingual control, accents and voice qualities.

Hume AI runs the evaluation. No public leaderboard was found, so numbers come from model makers' reports.

Made by
Hume AI
Released
September 2026
Kind
Speech recognition and translation
Level
Everyday
Scored
Ranked by votes
Answers
Open-ended
Tasks
Kept private
Last in a launch post
September 2026
Last model added
September 2026
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab

Only Gemini 3.8 Flash TTS has a rating here, from its lab’s own post

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs. A rating ranks a model only against others rated in the same arena at the same time, so these don’t show who leads.

  1. 1 Gemini 3.8 Flash TTS 71.4

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Gemini 3.8 Flash TTS 71.4 Sep 2026 Lab model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
71.4 71.4

Source: Labs’ model cards

One lab put it in a launch post in the last six months

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Google DeepMind
DateLaunch postScoreAs the post writes it
Sep 23, 2026 Gemini 3.8 Flash TTS 71.4 Hume AI Voice Design Benchmark, Overall English

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Sep 23, 2026 Gemini 3.8 Flash TTS model card 71.4 Hume AI Voice Design Benchmark, Overall English, Gemini speech generation model page Capabilities

More in Audio and video

All 233 in Audio and video
  • Video-MMMU In use 300 expert-level lecture videos with questions testing perception, comprehension and adaptation of knowledge. Accuracy. Qwen 3.8 Max 88.7%
  • LVBench In use Hours-long video understanding with multiple-choice questions on reasoning, grounding and summarization. Gemini 4 Argon 91.7%
  • MMVU In use 3,000 expert-annotated questions on videos across 27 disciplines. Multiple-choice and open-ended accuracy. Qwen 3.8 Max 82.4%
  • MLVU In use Multi-task long video understanding (minutes to hours) with multiple-choice and generation tasks. Accuracy. Qwen 3.8 Max 90.8%
  • FLEURS In use Models transcribe read speech in 102 languages built from FLoRes-101 sentences. Model cards usually report word error rate, so lower scores are better. Phi-4-multimodal 4.00%
  • VoiceBench In use Spoken instructions with speaker, environment and content variation. Voice assistant responses scored by GPT judge or rules. Qwen3.5-Omni-Plus 93.1%