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 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 voiceaura-luna-en- Warm, conversational female voiceaura-stella-en- Energetic, friendly female voiceaura-athena-en- Authoritative female voiceaura-hera-en- Mature, confident female voiceaura-orion-en- Deep, authoritative male voiceaura-arcas-en- Professional male voiceaura-perseus-en- Friendly male voiceaura-angus-en- Casual male voiceaura-orpheus-en- Smooth, articulate male voiceaura-helios-en- Energetic male voiceaura-zeus-en- Powerful, commanding male voice
For a complete list, consult Deepgram's Voice Selection guide.
Usage
Deepgram voice IDs conform to the following format:
deepgram.<voice>
Where <voice> is the voice identifier from Deepgram's Voice Selection 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.
- SWML
- RELAY Realtime SDK
- Call Flow Builder
- cXML
Use the
languages
SWML method to set one or more voices for an AI agent.
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
of the play
SWML method to select a voice for basic TTS.
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."
// 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();
Deepgram voices are not yet supported in Call Flow Builder.
<?xml version="1.0" encoding="UTF-8"?>
<Response>
<Say voice="deepgram.aura-asteria-en">
Greetings. This is the Asteria voice from Deepgram's Aura text-to-speech model.
</Say>
</Response>