Text-to-Speech Studio
Clone voices and synthesize natural speech with AI.
About the service
Tag Usage Guide
Pause Tags System
You can use pause tags anywhere in the text. Various formats are supported:
- Seconds:
[pause:1.5],[pause:2s],[pause:3] - Milliseconds:
[pause:500ms],[pause:1200ms],[pause:800ms]
Welcome to our show! [pause:1s] Today we will discuss interesting topics.
[Alice] I am so excited! [pause:500ms] This will be great.
[pause:2] Let's move on to the main part.
Paralinguistic Tags
The service supports tags for non-verbal sounds: breathing, laughter, coughing, sighs, gasps, background noise, lip smacks, and emphasis. These tags are processed directly by the model during speech generation.
| Tag | Effect | Example |
|---|---|---|
<breath> | Breath | I'm tired <breath> let's rest |
<quick_breath> | Quick breath | Running <quick_breath> almost there |
<laughter> | Laughter | That's hilarious <laughter>! |
<cough> | Cough | Excuse me <cough> sorry |
<sigh> | Sigh | Fine <sigh> I'll do it |
<gasp> | Fright or surprise | Oh no <gasp> what happened? |
<noise> | Background noise | Walking <noise> through the forest |
<lipsmack> | Lip smack | Tasty <lipsmack> food |
<accent> | Accent or emphasis | Very <accent> important |
Wrapper tags are also supported:
| Tag | Effect | Example |
|---|---|---|
<laughing>text</laughing> | Speak text with laughter | <laughing>so funny</laughing>! |
<strong>text</strong> | Emphasize text | <strong>very important</strong> |
Language and Character Switching
Use square bracket syntax for language and speaker changes:
[en:Alice] Hello world
[ru:Bob] Привет мир
[zh:] 你好世界
Recommendations
- Use angle brackets such as
<breath>to avoid conflicts with character names. - Insert tags where they fit natural speech, such as pauses before an answer or sighs when tired.
- Use tags in moderation: 1-2 tags per sentence is usually enough.
- The model controls effect strength; parameters cannot change laughter volume or sigh duration.
What's new
Improved TTS Quality
- Improved the quality of TTS generation.
- Reduced the number of incorrect and empty results.
Improved quality, reduced cost
- Faster generation
- Fewer artifacts
- Reduced cost
- Improved tag handling and updated documentation