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b14cbdb
remove `rime_model`
hey-august May 30, 2025
846766f
update tts reference on ai.languages
hey-august May 30, 2025
db68d93
standalone polly page
hey-august May 30, 2025
9338af1
rm polly
hey-august May 30, 2025
da34bf0
bump rime
hey-august May 30, 2025
9ce63a5
azure
hey-august May 30, 2025
7fbd269
cartesia
hey-august May 30, 2025
e927d33
deepgram
hey-august May 30, 2025
7082425
elevenlabs
hey-august May 30, 2025
fc91f1d
gcloud
hey-august May 30, 2025
e13b060
openai
hey-august May 30, 2025
3619e31
polly
hey-august May 30, 2025
e5562de
rime
hey-august May 30, 2025
9e51af3
move tts provider references to standalone pages
hey-august May 30, 2025
1d26a96
Merge branch 'main' into august-0525-tts
hey-august May 30, 2025
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fix links
hey-august Jun 5, 2025
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29 changes: 29 additions & 0 deletions docs/home/calling/voice/tts/azure.mdx
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---
title: Azure
description: Learn how to use Azure TTS voices on the SignalWire platform.
slug: /voice/tts/azure
---

import AzureVoices from './_azure-voices.mdx';

# Microsoft Azure

Microsoft's Azure platform offers an impressive array of high-quality, multilingual voices in its Neural model.

## Languages

Azure Neural voices are interchangeably compatible with all supported languages.
Rather than setting language with the language `code`,
simply provide input text in the desired language.

Consult the Azure
[supported languages resource](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=tts)
for an up-to-date list of supported languages.

## Voice IDs

<div style={{"display":"inline-block","max-height":"70vh","overflow-y":"auto"}}>

<AzureVoices />

</div>
219 changes: 219 additions & 0 deletions docs/home/calling/voice/tts/cartesia.mdx
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---
title: Cartesia
description: Learn how to use Cartesia TTS voices on the SignalWire platform.
slug: /voice/tts/cartesia
---

import CodeBlock from '@theme/CodeBlock';

# Cartesia

Cartesia offers a wide selection of fully multilingual voices with very low latency.

Consult [Cartesia's Text-to-Speech documentation](https://docs.cartesia.ai/getting-started/available-models)
for more information and audio samples for available voices.
[Create a Cartesia Account](https:play.cartesia.ai) to browse and test voices in the Cartesia Playground.

## Voice IDs

Copy the voice ID from the below table:

<div style={{"display":"inline-block","max-height":"70vh","overflow-y":"auto"}}>

| Voice name | Voice ID |
| :------------------------------- | :---------------------------------------------------------- |
| German Conversational Woman | <CodeBlock>3f4ade23-6eb4-4279-ab05-6a144947c4d5</CodeBlock> |
| Nonfiction Man | <CodeBlock>79f8b5fb-2cc8-479a-80df-29f7a7cf1a3e</CodeBlock> |
| Friendly Sidekick | <CodeBlock>e00d0e4c-a5c8-443f-a8a3-473eb9a62355</CodeBlock> |
| French Conversational Lady | <CodeBlock>a249eaff-1e96-4d2c-b23b-12efa4f66f41</CodeBlock> |
| French Narrator Lady | <CodeBlock>8832a0b5-47b2-4751-bb22-6a8e2149303d</CodeBlock> |
| German Reporter Woman | <CodeBlock>119e03e4-0705-43c9-b3ac-a658ce2b6639</CodeBlock> |
| Indian Lady | <CodeBlock>3b554273-4299-48b9-9aaf-eefd438e3941</CodeBlock> |
| British Reading Lady | <CodeBlock>71a7ad14-091c-4e8e-a314-022ece01c121</CodeBlock> |
| British Narration Lady | <CodeBlock>4d2fd738-3b3d-4368-957a-bb4805275bd9</CodeBlock> |
| Japanese Children Book | <CodeBlock>44863732-e415-4084-8ba1-deabe34ce3d2</CodeBlock> |
| Japanese Woman Conversational | <CodeBlock>2b568345-1d48-4047-b25f-7baccf842eb0</CodeBlock> |
| Japanese Male Conversational | <CodeBlock>e8a863c6-22c7-4671-86ca-91cacffc038d</CodeBlock> |
| Reading Lady | <CodeBlock>15a9cd88-84b0-4a8b-95f2-5d583b54c72e</CodeBlock> |
| Newsman | <CodeBlock>d46abd1d-2d02-43e8-819f-51fb652c1c61</CodeBlock> |
| Child | <CodeBlock>2ee87190-8f84-4925-97da-e52547f9462c</CodeBlock> |
| Meditation Lady | <CodeBlock>cd17ff2d-5ea4-4695-be8f-42193949b946</CodeBlock> |
| Maria | <CodeBlock>5345cf08-6f37-424d-a5d9-8ae1101b9377</CodeBlock> |
| 1920's Radioman | <CodeBlock>41534e16-2966-4c6b-9670-111411def906</CodeBlock> |
| Newslady | <CodeBlock>bf991597-6c13-47e4-8411-91ec2de5c466</CodeBlock> |
| Calm Lady | <CodeBlock>00a77add-48d5-4ef6-8157-71e5437b282d</CodeBlock> |
| Helpful Woman | <CodeBlock>156fb8d2-335b-4950-9cb3-a2d33befec77</CodeBlock> |
| Mexican Woman | <CodeBlock>5c5ad5e7-1020-476b-8b91-fdcbe9cc313c</CodeBlock> |
| California Girl | <CodeBlock>b7d50908-b17c-442d-ad8d-810c63997ed9</CodeBlock> |
| Korean Narrator Woman | <CodeBlock>663afeec-d082-4ab5-827e-2e41bf73a25b</CodeBlock> |
| Russian Calm Lady | <CodeBlock>779673f3-895f-4935-b6b5-b031dc78b319</CodeBlock> |
| Russian Narrator Man 1 | <CodeBlock>2b3bb17d-26b9-421f-b8ca-1dd92332279f</CodeBlock> |
| Russian Narrator Man 2 | <CodeBlock>da05e96d-ca10-4220-9042-d8acef654fa9</CodeBlock> |
| Russian Narrator Woman | <CodeBlock>642014de-c0e3-4133-adc0-36b5309c23e6</CodeBlock> |
| Hinglish Speaking Lady | <CodeBlock>95d51f79-c397-46f9-b49a-23763d3eaa2d</CodeBlock> |
| Italian Narrator Woman | <CodeBlock>0e21713a-5e9a-428a-bed4-90d410b87f13</CodeBlock> |
| Polish Narrator Woman | <CodeBlock>575a5d29-1fdc-4d4e-9afa-5a9a71759864</CodeBlock> |
| Chinese Female Conversational | <CodeBlock>e90c6678-f0d3-4767-9883-5d0ecf5894a8</CodeBlock> |
| Pilot over Intercom | <CodeBlock>36b42fcb-60c5-4bec-b077-cb1a00a92ec6</CodeBlock> |
| Chinese Commercial Man | <CodeBlock>eda5bbff-1ff1-4886-8ef1-4e69a77640a0</CodeBlock> |
| French Narrator Man | <CodeBlock>5c3c89e5-535f-43ef-b14d-f8ffe148c1f0</CodeBlock> |
| Spanish Narrator Man | <CodeBlock>a67e0421-22e0-4d5b-b586-bd4a64aee41d</CodeBlock> |
| Reading Man | <CodeBlock>f146dcec-e481-45be-8ad2-96e1e40e7f32</CodeBlock> |
| New York Man | <CodeBlock>34575e71-908f-4ab6-ab54-b08c95d6597d</CodeBlock> |
| Friendly French Man | <CodeBlock>ab7c61f5-3daa-47dd-a23b-4ac0aac5f5c3</CodeBlock> |
| Barbershop Man | <CodeBlock>a0e99841-438c-4a64-b679-ae501e7d6091</CodeBlock> |
| Indian Man | <CodeBlock>638efaaa-4d0c-442e-b701-3fae16aad012</CodeBlock> |
| Australian Customer Support Man | <CodeBlock>41f3c367-e0a8-4a85-89e0-c27bae9c9b6d</CodeBlock> |
| Friendly Australian Man | <CodeBlock>421b3369-f63f-4b03-8980-37a44df1d4e8</CodeBlock> |
| Wise Man | <CodeBlock>b043dea0-a007-4bbe-a708-769dc0d0c569</CodeBlock> |
| Friendly Reading Man | <CodeBlock>69267136-1bdc-412f-ad78-0caad210fb40</CodeBlock> |
| Customer Support Man | <CodeBlock>a167e0f3-df7e-4d52-a9c3-f949145efdab</CodeBlock> |
| Dutch Confident Man | <CodeBlock>9e8db62d-056f-47f3-b3b6-1b05767f9176</CodeBlock> |
| Dutch Man | <CodeBlock>4aa74047-d005-4463-ba2e-a0d9b261fb87</CodeBlock> |
| Hindi Reporter Man | <CodeBlock>bdab08ad-4137-4548-b9db-6142854c7525</CodeBlock> |
| Italian Calm Man | <CodeBlock>408daed0-c597-4c27-aae8-fa0497d644bf</CodeBlock> |
| Italian Narrator Man | <CodeBlock>029c3c7a-b6d9-44f0-814b-200d849830ff</CodeBlock> |
| Swedish Narrator Man | <CodeBlock>38a146c3-69d7-40ad-aada-76d5a2621758</CodeBlock> |
| Polish Confident Man | <CodeBlock>3d335974-4c4a-400a-84dc-ebf4b73aada6</CodeBlock> |
| Spanish-speaking Storyteller Man | <CodeBlock>846fa30b-6e1a-49b9-b7df-6be47092a09a</CodeBlock> |
| Kentucky Woman | <CodeBlock>4f8651b0-bbbd-46ac-8b37-5168c5923303</CodeBlock> |
| Chinese Commercial Woman | <CodeBlock>0b904166-a29f-4d2e-bb20-41ca302f98e9</CodeBlock> |
| Middle Eastern Woman | <CodeBlock>daf747c6-6bc2-4083-bd59-aa94dce23f5d</CodeBlock> |
| Hindi Narrator Woman | <CodeBlock>c1abd502-9231-4558-a054-10ac950c356d</CodeBlock> |
| Sarah | <CodeBlock>694f9389-aac1-45b6-b726-9d9369183238</CodeBlock> |
| Sarah Curious | <CodeBlock>794f9389-aac1-45b6-b726-9d9369183238</CodeBlock> |
| Laidback Woman | <CodeBlock>21b81c14-f85b-436d-aff5-43f2e788ecf8</CodeBlock> |
| Reflective Woman | <CodeBlock>a3520a8f-226a-428d-9fcd-b0a4711a6829</CodeBlock> |
| Helpful French Lady | <CodeBlock>65b25c5d-ff07-4687-a04c-da2f43ef6fa9</CodeBlock> |
| Pleasant Brazilian Lady | <CodeBlock>700d1ee3-a641-4018-ba6e-899dcadc9e2b</CodeBlock> |
| Customer Support Lady | <CodeBlock>829ccd10-f8b3-43cd-b8a0-4aeaa81f3b30</CodeBlock> |
| British Lady | <CodeBlock>79a125e8-cd45-4c13-8a67-188112f4dd22</CodeBlock> |
| Wise Lady | <CodeBlock>c8605446-247c-4d39-acd4-8f4c28aa363c</CodeBlock> |
| Australian Narrator Lady | <CodeBlock>8985388c-1332-4ce7-8d55-789628aa3df4</CodeBlock> |
| Indian Customer Support Lady | <CodeBlock>ff1bb1a9-c582-4570-9670-5f46169d0fc8</CodeBlock> |
| Swedish Calm Lady | <CodeBlock>f852eb8d-a177-48cd-bf63-7e4dcab61a36</CodeBlock> |
| Spanish Narrator Lady | <CodeBlock>2deb3edf-b9d8-4d06-8db9-5742fb8a3cb2</CodeBlock> |
| Salesman | <CodeBlock>820a3788-2b37-4d21-847a-b65d8a68c99a</CodeBlock> |
| Yogaman | <CodeBlock>f114a467-c40a-4db8-964d-aaba89cd08fa</CodeBlock> |
| Movieman | <CodeBlock>c45bc5ec-dc68-4feb-8829-6e6b2748095d</CodeBlock> |
| Wizardman | <CodeBlock>87748186-23bb-4158-a1eb-332911b0b708</CodeBlock> |
| Australian Woman | <CodeBlock>043cfc81-d69f-4bee-ae1e-7862cb358650</CodeBlock> |
| Korean Calm Woman | <CodeBlock>29e5f8b4-b953-4160-848f-40fae182235b</CodeBlock> |
| Friendly German Man | <CodeBlock>fb9fcab6-aba5-49ec-8d7e-3f1100296dde</CodeBlock> |
| Announcer Man | <CodeBlock>5619d38c-cf51-4d8e-9575-48f61a280413</CodeBlock> |
| Wise Guide Man | <CodeBlock>42b39f37-515f-4eee-8546-73e841679c1d</CodeBlock> |
| Midwestern Man | <CodeBlock>565510e8-6b45-45de-8758-13588fbaec73</CodeBlock> |
| Kentucky Man | <CodeBlock>726d5ae5-055f-4c3d-8355-d9677de68937</CodeBlock> |
| Brazilian Young Man | <CodeBlock>5063f45b-d9e0-4095-b056-8f3ee055d411</CodeBlock> |
| Chinese Call Center Man | <CodeBlock>3a63e2d1-1c1e-425d-8e79-5100bc910e90</CodeBlock> |
| German Reporter Man | <CodeBlock>3f6e78a8-5283-42aa-b5e7-af82e8bb310c</CodeBlock> |
| Confident British Man | <CodeBlock>63ff761f-c1e8-414b-b969-d1833d1c870c</CodeBlock> |
| Southern Man | <CodeBlock>98a34ef2-2140-4c28-9c71-663dc4dd7022</CodeBlock> |
| Classy British Man | <CodeBlock>95856005-0332-41b0-935f-352e296aa0df</CodeBlock> |
| Polite Man | <CodeBlock>ee7ea9f8-c0c1-498c-9279-764d6b56d189</CodeBlock> |
| Mexican Man | <CodeBlock>15d0c2e2-8d29-44c3-be23-d585d5f154a1</CodeBlock> |
| Korean Narrator Man | <CodeBlock>57dba6ff-fe3b-479d-836e-06f5a61cb5de</CodeBlock> |
| Turkish Narrator Man | <CodeBlock>5a31e4fb-f823-4359-aa91-82c0ae9a991c</CodeBlock> |
| Turkish Calm Man | <CodeBlock>39f753ef-b0eb-41cd-aa53-2f3c284f948f</CodeBlock> |
| Hindi Calm Man | <CodeBlock>ac7ee4fa-25db-420d-bfff-f590d740aeb2</CodeBlock> |
| Hindi Narrator Man | <CodeBlock>7f423809-0011-4658-ba48-a411f5e516ba</CodeBlock> |
| Polish Narrator Man | <CodeBlock>4ef93bb3-682a-46e6-b881-8e157b6b4388</CodeBlock> |
| Polish Young Man | <CodeBlock>82a7fc13-2927-4e42-9b8a-bb1f9e506521</CodeBlock> |
| Alabama Male | <CodeBlock>40104aff-a015-4da1-9912-af950fbec99e</CodeBlock> |
| Australian Male | <CodeBlock>13524ffb-a918-499a-ae97-c98c7c4408c4</CodeBlock> |
| Anime Girl | <CodeBlock>1001d611-b1a8-46bd-a5ca-551b23505334</CodeBlock> |
| Japanese Man Book | <CodeBlock>97e7d7a9-dfaa-4758-a936-f5f844ac34cc</CodeBlock> |
| Sweet Lady | <CodeBlock>e3827ec5-697a-4b7c-9704-1a23041bbc51</CodeBlock> |
| Commercial Lady | <CodeBlock>c2ac25f9-ecc4-4f56-9095-651354df60c0</CodeBlock> |
| Teacher Lady | <CodeBlock>573e3144-a684-4e72-ac2b-9b2063a50b53</CodeBlock> |
| Princess | <CodeBlock>8f091740-3df1-4795-8bd9-dc62d88e5131</CodeBlock> |
| Commercial Man | <CodeBlock>7360f116-6306-4e9a-b487-1235f35a0f21</CodeBlock> |
| ASMR Lady | <CodeBlock>03496517-369a-4db1-8236-3d3ae459ddf7</CodeBlock> |
| Professional Woman | <CodeBlock>248be419-c632-4f23-adf1-5324ed7dbf1d</CodeBlock> |
| Tutorial Man | <CodeBlock>bd9120b6-7761-47a6-a446-77ca49132781</CodeBlock> |
| Calm French Woman | <CodeBlock>a8a1eb38-5f15-4c1d-8722-7ac0f329727d</CodeBlock> |
| New York Woman | <CodeBlock>34bde396-9fde-4ebf-ad03-e3a1d1155205</CodeBlock> |
| Spanish-speaking Lady | <CodeBlock>846d6cb0-2301-48b6-9683-48f5618ea2f6</CodeBlock> |
| Midwestern Woman | <CodeBlock>11af83e2-23eb-452f-956e-7fee218ccb5c</CodeBlock> |
| Sportsman | <CodeBlock>ed81fd13-2016-4a49-8fe3-c0d2761695fc</CodeBlock> |
| Storyteller Lady | <CodeBlock>996a8b96-4804-46f0-8e05-3fd4ef1a87cd</CodeBlock> |
| Spanish-speaking Man | <CodeBlock>34dbb662-8e98-413c-a1ef-1a3407675fe7</CodeBlock> |
| Doctor Mischief | <CodeBlock>fb26447f-308b-471e-8b00-8e9f04284eb5</CodeBlock> |
| Spanish-speaking Reporter Man | <CodeBlock>2695b6b5-5543-4be1-96d9-3967fb5e7fec</CodeBlock> |
| Young Spanish-speaking Woman | <CodeBlock>db832ebd-3cb6-42e7-9d47-912b425adbaa</CodeBlock> |
| The Merchant | <CodeBlock>50d6beb4-80ea-4802-8387-6c948fe84208</CodeBlock> |
| Stern French Man | <CodeBlock>0418348a-0ca2-4e90-9986-800fb8b3bbc0</CodeBlock> |
| Madame Mischief | <CodeBlock>e13cae5c-ec59-4f71-b0a6-266df3c9bb8e</CodeBlock> |
| German Storyteller Man | <CodeBlock>db229dfe-f5de-4be4-91fd-7b077c158578</CodeBlock> |
| Female Nurse | <CodeBlock>5c42302c-194b-4d0c-ba1a-8cb485c84ab9</CodeBlock> |
| German Conversation Man | <CodeBlock>384b625b-da5d-49e8-a76d-a2855d4f31eb</CodeBlock> |
| Friendly Brazilian Man | <CodeBlock>6a16c1f4-462b-44de-998d-ccdaa4125a0a</CodeBlock> |
| German Woman | <CodeBlock>b9de4a89-2257-424b-94c2-db18ba68c81a</CodeBlock> |
| Southern Woman | <CodeBlock>f9836c6e-a0bd-460e-9d3c-f7299fa60f94</CodeBlock> |
| British Customer Support Lady | <CodeBlock>a01c369f-6d2d-4185-bc20-b32c225eab70</CodeBlock> |
| Chinese Woman Narrator | <CodeBlock>d4d4b115-57a0-48ea-9a1a-9898966c2966</CodeBlock> |

</div><br /><br />

Prepend `cartesia.` and the string is ready for use.
For example: `cartesia.a167e0f3-df7e-4d52-a9c3-f949145efdab`

---

## Examples

See how to use Cartesia voices on the SignalWire platform.

<Tabs>
<TabItem value="swml" label="SWML">
Use the
[**`languages`**](/swml/methods/ai/languages#use-voice-strings)
SWML method to set one or more voices for an [AI agent](/swml/methods/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: cartesia.a167e0f3-df7e-4d52-a9c3-f949145efdab
```
Alternatively, use the [**`say_voice`** parameter](/swml/methods/play#parameters)
of the [**`play`**](/swml/methods/play)
SWML method to select a voice for basic TTS.
```yaml
version: 1.0.0
sections:
main:
- set:
say_voice: "cartesia.a167e0f3-df7e-4d52-a9c3-f949145efdab"
- play: "say:Greetings. This is the Customer Support Man voice from Cartesia's Sonic text-to-speech model."
```
</TabItem>
<TabItem value="relay" label="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 Customer Support Man voice from Cartesia's Sonic text-to-speech model.",
voice: "cartesia.a167e0f3-df7e-4d52-a9c3-f949145efdab",
});
await playback.ended();
```
</TabItem>
<TabItem value="cfb" label="Call Flow Builder">
OpenAI voices are not yet supported in Call Flow Builder.
</TabItem>
<TabItem value="cxml" label="CXML">
```xml
<?xml version="1.0" encoding="UTF-8"?>
<Response>
<Say voice="cartesia.a167e0f3-df7e-4d52-a9c3-f949145efdab">
Greetings. This is the Customer Support Man voice from Cartesia's Sonic text-to-speech model.
</Say>
</Response>
```
</TabItem>
</Tabs>
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---
title: Deepgram
description: Learn how to use Deepgram TTS voices on the SignalWire platform.
slug: /voice/tts/deepgram
---

# Deepgram

Deepgram offers a range of **English-speaking** 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's voices are promised to 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.

## Voice IDs

Copy the voice ID from the **Values** column of Deepgram's
[Voice Selection](https://developers.deepgram.com/docs/tts-models) reference.
Prepend `deepgram.` and the string is ready for use.
For example: `deepgram.aura-athena-en`

---

## Examples

Learn how to use Deepgram voices on the SignalWire platform.

<Tabs>
<TabItem value="swml" label="SWML">
Use the
[**`languages`**](/swml/methods/ai/languages#use-voice-strings)
SWML method to set one or more voices for an [AI agent](/swml/methods/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](/swml/methods/play#parameters)
of the [**`play`**](/swml/methods/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."
```
</TabItem>
<TabItem value="relay" label="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();
```
</TabItem>
<TabItem value="cfb" label="Call Flow Builder">
Deepgram voices are not yet supported in Call Flow Builder.
</TabItem>
<TabItem value="cxml" label="cXML">
```xml
<?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>
```
</TabItem>
</Tabs>
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