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Addis Voice 2
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Addis Voice 2 is a closed-weights text-to-speech model from Addis AI.
Catalogue identity notes
Exact model addis-voice-2; voice am-yohanes-calm. Dataset label Addis Voice 2. No API immutable build/weight SHA supplied.
Score within the Vapi Humanness · Bradley–Terry rating, 2026-09-25 snapshot comparison set only.
$ how it compares
The text-to-speech models ranked either side of Addis Voice 2, out of 148 with a score.
| # | model | score | where |
|---|---|---|---|
| 81 |  Azure Ameha Neural | 50±16 | comparison only |
| 82 | Azure Mekdes Neural | 50±16 | comparison only |
| 83 | Addis Voice 2 | 50±16 | comparison only |
| 84 |  LEMAS-TTS (w/o prosody, multilingual_grl) | 50±6 | local |
| 85 |  MMS TTS Amharic | 50±16 | local |
see all text-to-speech models · find the ones that fit your machine
$ what it's good at
other tests1 not in a task · 0.2% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Amharic TTS · 87-prompt CER (Chirp 3 judge) lab | 4.4% ✎ | ▄·····▄·▄·██ beats 3/6 | 0.2% |
$ where to run it
No verified API or download recorded yet · add one
$ how the score was worked out · Addis AI Amharic TTS benchmark 0%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
 Addis AI Amharic TTS benchmark · lab-reported | 1 | 0% |
| prior · pull toward the middle | 100% | |
| weighted average | = 50.1 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json