# Configure Conversation – Clean Speech 🗣️💬

The Normalize Text for Speech Synthesis feature converts certain parts of the text (such as numbers, currencies, or dates) into their spoken form. This ensures more consistent speech synthesis, since TTS models can sometimes misinterpret text if it isn’t normalized.

For example, before generating the audio, the phrase:

> “Call my number 2137112342 on Jul 5th, 2024 for the $24.12 payment”<br>

will be transformed into:

> “Call my number two one three seven one one two three four two on July fifth, twenty twenty four for the twenty four dollars twelve cents payment”

It’s important to note that this feature adds a small latency (approximately 100 ms) to the overall process.

***

#### Language Configuration

Currently, speech normalization is supported in the following languages:

* English
* Spanish
* French
* German

For other languages, this feature will not make any modifications to the text. If you select a non-multilingual language, the normalization will use that language’s rules (for example, “1” will be normalized to “one” if English is used). If you select the multilingual option, the system will automatically detect the appropriate language based on the generated text and normalize it accordingly.


---

# 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://docs.dapta.ai/ai-voice-agents/how-to-set-up-your-ai-voice-agent/voice-agent-settings-guide/configure-conversation-clean-speech.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
