# Voice Cloning

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$$
V(\text{Text}, \text{Speaker}; \theta\_v, \theta\_s) = \text{NN}*{\text{Acoustic}}(\text{NN}*{\text{Linguistic}}(\text{Text}; \theta\_l), \text{Speaker}; \theta\_v, \theta\_s) \
$$

* $$V(Text,Speaker;θv​,θs​)$$ represents the synthesized voice output generated from the input text and the target speaker.
* $$\text{Text}$$ is the input text to be converted into speech.
* $$\text{Speaker}$$ represents the target speaker whose voice is being cloned.
* $$\theta\_v$$ are the parameters of the neural network model used for voice synthesis.
* $$\theta\_s$$ are the parameters of the speaker embedding model.
* $$\theta\_l$$ are the parameters of the linguistic model.
* $$\text{NN}\_{\text{Acoustic}}$$ represents the acoustic model responsible for capturing the speaker's voice characteristics.
* $$\text{NN}\_{\text{Linguistic}}$$ represents the linguistic model responsible for converting text input into linguistic features.
*


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://textopia.gitbook.io/textopia.ai/features/text-to-speech/voice-cloning.md?ask=<question>
```

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The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.