Rime allows you to customize the speaking speed of your voice agents, enabling you to:Documentation Index
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- Enhance accessibility for diverse audiences.
- Tailor speech to specific applications (for example, slower pace for explanatory materials).
- Optimize the conversation to suit various contexts.
Adjusting the overall speed
How you adjust overall speaking speed depends on the model.Coda, Arcana, and Mist v3
Use thetimeScaleFactor parameter. A value above 1.0 slows the audio; a value below 1.0 speeds it up.
Coda, Arcana, and Mist v3 also accept
speedAlpha, but it works in the opposite direction from timeScaleFactor (higher than 1.0 is faster, lower is slower). Going forward we recommend timeScaleFactor for these models — it’s the parameter we’ll continue to support across future flagship models.timeScaleFactor works over the HTTP API only. On the WebSocket endpoints (/ws, /ws2, /ws3), the parameter is silently ignored — use speedAlpha instead.Mist v2
Use thespeedAlpha parameter. Lower than 1.0 is faster; higher than 1.0 is slower.
Adjusting the speed of individual words
Per-word speed adjustment via
inlineSpeedAlpha is a Mist-family feature. Coda and Arcana do not support it.inlineSpeedAlpha parameter. It takes a comma-separated list of speed values applied to words in square brackets.
On mistv2 and mistv3, values < 1.0 speed up speech and values > 1.0 slow it down.
On Mist v3,
inlineSpeedAlpha and speedAlpha go in opposite directions — speedAlpha follows the modern flagship direction (higher = faster), but inlineSpeedAlpha follows the legacy Mist direction (lower = faster). Don’t infer one from the other.Recommendations
By effectively utilizing Rime’s speed control features, you can create more varied conversational AI experiences.- Use
speedAlphato adjust the overall speed of the speech. - Use
inlineSpeedAlpha(Mist family only) to adjust the speed of individual words or phrases. - Experiment with different values to find the best fit for your use case.
- Be mindful that large speed adjustments may impact the naturalness and clarity of the synthesized speech.

