Sold by: CartesiaÂ
Deployed on AWS
Cartesia Sonic delivers natural AI Voices in 40+ languages including accent localization and controls for emotional expressiveness, all at 2-4x lower latency than alternatives with industry leading reliability.
Overview
Cartesia is the leading Voice AI foundation model research and development company powering the next generation of Voice AI applications. The team pioneered State Space Models during their PhDs at Stanford and commercialized the architecture in real-time speech synthesis.
Highlights
- Sonic's support for 40+ language with accent localization and multilingual voices reaches customers around the world.
- Full control over emotional expressiveness, speed, volume and more, all at 2-4x lower latencies than alternatives.
- Achieve accurate pronunciation for complex phone numbers, addresses, and IDs every invocation.
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost |
|---|---|---|
ml.m5.4xlarge Inference (Batch) Recommended | Model inference on the ml.m5.4xlarge instance type, batch mode | $0.001/host/hour |
inference.count.m.i.c Inference Pricing | inference.count.m.i.c Inference Pricing | $0.037/request |
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Refunds are not allowed.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Updated API
Additional details
Inputs
- Summary
The response streaming endpoint takes in a JSON object as the input that specifies the transcript, voice, language, and output format for the generation.
{
"context_id": "0",
"transcript": "The detective burst through the door. 'We've got maybe five minutes before they realize we're here, so listen carefully and listen well: <speed ratio='1.5'/> the artifact is hidden beneath the old courthouse, exactly three feet below the cornerstone, and <volume ratio='0.5'/>whatever you do, DO NOT touch it with your bare hands!' She paused, catching her breath. 'Now... here's the important part... <speed ratio='0.6'/>you need to... very slowly... very carefully... wrap it in the copper wire first... then the silk cloth... then seal it in the lead box.' <volume ratio='2.0'/> Footsteps echoed in the hallway. 'GO GO GO! They're coming up the stairs RIGHT NOW!'",
"language": "en",
"output_format": {
"container": "raw",
"sample_rate": 44100,
"encoding": "pcm"
}
"voice_id": {
"mode": "id",
"id": "bf0a246a-8642-498a-9950-80c35e9276b5"
},
}
Do not use batch mode
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
context_id | A unique ID provided by the client to identify the request. It can be any string value and helps with tracking or debugging. | - | Yes |
transcript | The text that will be converted into speech. You can include additional controls (e.g., emotion, speed, volume) as supported by Sonic 3 models: https://docs.cartesia.ai/build-with-cartesia/sonic-3/volume-speed-emotion | - | Yes |
language | The language code of the transcript text. Supported codes include:
en, fr, de, es, pt, zh, ja, hi, it, ko, nl, pl, ru, sv, tr, tl, bg, ro, ar, cs, el, fi, hr, ms, sk, da, ta, uk, hu, no, vi, bn, th, he, ka, id, te, gu, kn, ml, mr, pa | - | Yes |
output_format | Must match the raw option from the Cartesia TTS SSE API: https://docs.cartesia.ai/api-reference/tts/sse#body-output-format. Only raw is supported. | - | Yes |
voice | Matches the voice field from the Cartesia TTS SSE API: https://docs.cartesia.ai/api-reference/tts/sse#body-voice. Only mode = id is supported. Example: { "mode": "id", "id": "voice_123" } | - | Yes |
generation_config | Optional configuration object matching the API schema: https://docs.cartesia.ai/api-reference/tts/sse#body-generation-config | - | No |
add_timestamps | Whether to include word-level timestamps in the output: https://docs.cartesia.ai/api-reference/tts/sse#body-add-timestamps | - | No |
add_phoneme_timestamps | Whether to include phoneme-level timestamps in the output: https://docs.cartesia.ai/api-reference/tts/sse#body-add-phoneme-timestamps | No | |
use_normalized_timestamps | Whether timestamps should be normalized (0–1 range): https://docs.cartesia.ai/api-reference/tts/sse#body-use-normalized-timestamps | - | No |
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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