Models & Languages

Text-to-speech language support depends on the model (base URL) used:

• api.respeecher.com/v1/public/tts/en-rt: English primarily, with some support for other languages for voices highlighted with ✨ in the playground, which is useful for short passages in other languages within text that is otherwise in English. The default model in the Python and TypeScript SDKs;
• api.respeecher.com/v1/public/tts/ua-rt: Ukrainian primarily, with some support for other languages for all voices, which is useful for short passages in other languages within text that is otherwise in Ukrainian.

There are predefined constants for public models in the SDKs, for example in Python:

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from respeecher import Respeecher, RespeecherEnvironment
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client = Respeecher(environment=RespeecherEnvironment.PUBLIC_UA_RT)

Stress marking (Ukrainian model only)

The Ukrainian model (api.respeecher.com/v1/public/tts/ua-rt) supports explicit stress marks, which let you control where the stress falls in a word. This is useful for homographs or names where the model might otherwise guess wrong.

A stress mark is placed immediately before the vowel that should be stressed. You can mark stress in any of three equivalent ways:

• Stress token — insert a <stress> token before the vowel, e.g. йог<stress>урт.
• Plus sign — insert a + before the vowel, inside the word, e.g. йог+урт.
• Unicode combining accent — place a combining acute accent (U+0301) after the vowel, e.g. йогу́рт.

Forcing a stress

If a single mark doesn’t take effect, you can repeat it to push the model harder toward placing the stress, e.g. йог<stress><stress>урт or йог++урт.