***

id: c2a4f703-3d37-4239-9c5c-a7a3498dd58d
title: Deepgram
description: Learn how to use Deepgram TTS voices on the SignalWire platform.
slug: /voice/tts/deepgram
-------------------------

Deepgram's Aura model offers a wide range of voices for its text-to-speech API,
each designed to produce natural-sounding speech output in an array of different accents and speaking styles.

Deepgram voices have human-like tones, rhythm, and emotion,
lower than 250 ms latency,
and are optimized for high-throughput applications.

Consult Deepgram's [TTS models guide](https://developers.deepgram.com/docs/tts-models)
for more information and samples for supported voices.

## Models

Deepgram's Aura model provides ultra-low latency text-to-speech optimized for conversational AI:

| Model  | Description                                                        |
| ------ | ------------------------------------------------------------------ |
| `aura` | **Default** - Low-latency conversational TTS with human-like tones |

## Voices

Deepgram Aura voices are designed for natural-sounding English speech. Each voice follows the pattern `aura-<name>-en`.

Popular voices include:

* `aura-asteria-en` - Clear, professional female voice
* `aura-luna-en` - Warm, conversational female voice
* `aura-stella-en` - Energetic, friendly female voice
* `aura-athena-en` - Authoritative female voice
* `aura-hera-en` - Mature, confident female voice
* `aura-orion-en` - Deep, authoritative male voice
* `aura-arcas-en` - Professional male voice
* `aura-perseus-en` - Friendly male voice
* `aura-angus-en` - Casual male voice
* `aura-orpheus-en` - Smooth, articulate male voice
* `aura-helios-en` - Energetic male voice
* `aura-zeus-en` - Powerful, commanding male voice

For a complete list, consult Deepgram's [Voice Selection guide](https://developers.deepgram.com/docs/tts-models).

## Usage

Deepgram voice IDs conform to the following format:

```
deepgram.<voice>
```

Where `<voice>` is the voice identifier from Deepgram's [Voice Selection](https://developers.deepgram.com/docs/tts-models) reference.

Copy the voice ID from the **Values** column of Deepgram's Voice Selection reference, prepend `deepgram.`, and the string is ready for use.

**Examples:**

```
deepgram.aura-asteria-en
deepgram.aura-orion-en
deepgram.aura-luna-en
deepgram.aura-zeus-en
```

***

## Examples

Learn how to use Deepgram voices on the SignalWire platform.

<Tabs>
  <Tab title="SWML">
    Use the
    [**`languages`**](/docs/swml/reference/ai/languages#use-voice-strings)
    SWML method to set one or more voices for an [AI agent](/docs/swml/reference/ai).

    ```yaml
    version: 1.0.0
    sections:
      main:
      - ai:
          prompt:
            text: Have an open-ended conversation about flowers.
          languages:
            - name: English
              code: en-US
              voice: deepgram.aura-asteria-en
    ```

    Alternatively, use the [**`say_voice`** parameter](/docs/swml/reference/play#variables)
    of the [**`play`**](/docs/swml/reference/play)
    SWML method to select a voice for basic TTS.

    ```yaml
    version: 1.0.0
    sections:
      main:
      - set:
          say_voice: "deepgram.aura-asteria-en"
      - play: "say:Greetings. This is the Asteria voice from Deepgram's Aura text-to-speech model."
    ```
  </Tab>

  <Tab title="RELAY Realtime SDK">
    ```javascript
    // This example uses the Node.js SDK for SignalWire's RELAY Realtime API.
    const playback = await call.playTTS({ 
        text: "Greetings. This is the Asteria voice from Deepgram's Aura text-to-speech model.",
        voice: "deepgram.aura-asteria-en",
    });
    await playback.ended();
    ```
  </Tab>

  <Tab title="Call Flow Builder">
    Deepgram voices are not yet supported in Call Flow Builder.
  </Tab>
</Tabs>