---
title: Emotions in AI Calls with Outreach Master
description: Learn how to control emotion, volume, speed and laughter in AI calls with Outreach Master via Sonic-3 – for natural, authentic voices.
---

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1. [Outreach Master](https://support.outreach-master.de/en/knowledge?hsLang=en)
2. [AI Calls](https://support.outreach-master.de/en/knowledge/ai-calls?hsLang=en)

November 4, 2025

# Emotions in AI Calls with Outreach Master

### Overview

Sonic-3, the speech model behind Outreach Master’s AI Calls, enables natural-sounding, emotionally expressive speech.  
You can control **emotions, volume, and speed** directly via **SSML tags** in the transcript or through the user interface.  
This makes your AI calls sound more human, context-aware, and authentic.

The parameters in Sonic-3 are interpreted as **guidelines**, not strict controls.  
Experiment with different combinations to achieve the most natural and effective delivery.

 

 

### Controlling Speed & Volume

You can adjust speech speed and volume directly in your text using SSML tags:

 \<speed ratio="1.5"/\> I like to speak quickly because it makes me sound smart.

`<volume ratio="1.5"/> And I can be loud, too!`

- **Speed:** Values between `0.6` and `1.5`
- **Volume:** Values between `0.5` and `2.0`

> Example: `1.5` corresponds to roughly 50% faster or louder than the default voice setting.

### Controlling Emotions (Beta)

Sonic-3 automatically infers emotions from the text content.  
However, for precise control, you can manually define an emotion using an **SSML tag**.

#### Example

 

`<emotion value="angry" /> How dare you speak to me like I'm just a robot!`

### Supported Emotions

Sonic-3 supports a wide range of emotional tones — from neutral and calm to highly expressive delivery.

 

#### Primary Emotions

These provide the most consistent and natural results:

- `neutral`
- `angry`
- `excited`
- `content`
- `sad`
- `scared`

#### Extended Emotions

Sonic-3 can also recognize and render many subtle emotional variations:

`happy`, `enthusiastic`, `elated`, `euphoric`, `triumphant`, `amazed`,  
`surprised`, `flirtatious`, `joking/comedic`, `curious`, `peaceful`, `serene`,  
`calm`, `grateful`, `affectionate`, `trust`, `sympathetic`, `anticipation`,  
`mysterious`, `mad`, `outraged`, `frustrated`, `agitated`, `threatened`,  
`disgusted`, `contempt`, `envious`, `sarcastic`, `ironic`, `dejected`,  
`melancholic`, `disappointed`, `hurt`, `guilty`, `bored`, `tired`,  
`rejected`, `nostalgic`, `wistful`, `apologetic`, `hesitant`, `insecure`,  
`confused`, `resigned`, `anxious`, `panicked`, `alarmed`, `proud`,  
`confident`, `distant`, `skeptical`, `contemplative`, `determined`

 

These emotions influence tone, rhythm, and vocal energy.  
Sonic-3 dynamically blends them with the meaning and emotional intent of the text for natural, expressive delivery.

 

### Laughter (Nonverbalisms)

In addition to emotions, Sonic-3 supports **nonverbal expressions** such as laughter.  
You can insert laughter simply by adding the `[laughter]` placeholder into your transcript:

 

`That meeting was... unexpected. [laughter] Anyway, let's continue.`

 

The model generates natural-sounding, context-appropriate laughter,  
making your AI calls feel warmer, more engaging, and human-like.

 

 

### Further Reading

- - [Cartesia Docs – Sonic-3 Overview](https://docs.cartesia.ai/build-with-cartesia/sonic-3/)
    - [Outreach Master – AI Call Configuration](https://support.outreach-master.de/de/knowledge/?hsLang=en)

- [First Steps](https://support.outreach-master.de/en/knowledge/first-steps?hsLang=en)
- [AI Calls](https://support.outreach-master.de/en/knowledge/ai-calls?hsLang=en)
- [LinkedIn](https://support.outreach-master.de/en/knowledge/linkedin?hsLang=en)

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Jens Wöhrle  
Paul-Heyse-Str. 31  
80336 München

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