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Azure Neural TTS Xiaoxiao
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Azure Neural TTS Xiaoxiao is a closed-weights text-to-speech model from Microsoft Azure.
Catalogue identity notes
Source product model azure-neural-tts; voice zh-CN-XiaoxiaoNeural. June 2026 invocation. Do not map Azure Neural to Azure HD or Polly Neural to Polly Generative.
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 Azure Neural TTS Xiaoxiao, out of 148 with a score.
| # | model | score | where |
|---|---|---|---|
| 1 |  Seed TTS 2.0 Standard | 84±5 | comparison only |
| 2 | Azure Neural TTS Xiaoxiao | 74±4 | comparison only |
| 3 |  Gemini 2.5 Flash Preview TTS | 72±3 | comparison only |
| 4 |  Voxtral TTS (4B) | 71±4 | api $16.00/M chars +local |
| 5 |  OpenAudio S1 | 71±8 | api $15.00/M chars |
see all text-to-speech models · find the ones that fit your machine
$ what it's good at
other tests1 not in a task · 92% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| CN-NewsTTS v0.1 · strict pronunciation accuracy | 75.6% ✎ | █··▄·█··▄··▄ beats 5/6 | 92% |
$ where to run it
No verified API or download recorded yet · add one
$ how the score was worked out · CN-NewsTTS Bench v0.1 92%
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 |
|---|---|---|
 CN-NewsTTS Bench v0.1 | 1 | 92% |
| prior · pull toward the middle | 8% | |
| weighted average | = 74.2 |
$ 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