Sold by: NCSOFTÂ
Deployed on AWS
VARCO TTS STANDARD is a generative speech model that delivers vivid, dynamic voice synthesis. Unlike conventional TTS, which produces the same output for the same input, the system uses sampling techniques so the same text can be rendered with different intonation, rhythm, and expressions each time
Overview
VARCO TTS STANDARD is a generative speech model that delivers vivid, dynamic voice synthesis. Unlike conventional TTS, which produces the same output for the same input, the system uses sampling techniques so the same text can be rendered with different intonation, rhythm, and expressions each time. This results in non-repetitive speech that feels varied and human-like, enhancing immersion.
Additionally, it pairs studio-grade audio quality with dynamic prosody, making it suitable for a wide range of global use cases-including games, storytelling, and media localization.
Highlights
- Sampling-based Variety: Generate different intonations and styles from the same text.
- Life-like, Dynamic Speech: Non-repetitive delivery for a more immersive experience.
- Studio-grade quality: Clear, rich audio fit for professional production.
Details
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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/host/hour |
|---|---|---|
ml.g4dn.xlarge Inference (Batch) Recommended | Model inference on the ml.g4dn.xlarge instance type, batch mode | $10.00 |
ml.g5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.xlarge instance type, real-time mode | $10.00 |
Vendor refund policy
Contact us NCSOFT R&D Center, 12, Daewangpangyo-ro 644beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea Tel :02-6201-0099/Email :nc-ai@ncsoft.comÂ
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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
Initial Release
Additional details
Inputs
- Summary
Accepts input in a JSON format
- Input MIME type
- application/json
{
"voice_id": "39251bb8-8cea-59f1-9f3b-e4f255b8875b",
"language": "en_US",
"emotion": "neutral",
"text": "How are things with you lately? I’d love to hear what you’ve been up to."
}
{
"voice_id": "39251bb8-8cea-59f1-9f3b-e4f255b8875b",
"language": "en_US",
"emotion": "neutral",
"text": "How are things with you lately? I’d love to hear what you’ve been up to."
}
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
voice_id | Input the voice_id that you want to use. For more detailed information on available voices, see our Voice List. | - | Yes |
language | Specify the language of your input “text” using a combination of the desired language code (ISO 639-1) and country code(ISO 3166-1) separated by an underscore.
If the value isn’t supported by the model, an error is returned.
Supported languages: “ko_KR”(Korean), “en_US”(English), “ja_JP”(Japanese), “zh_TW”(Traditional Chinese, Taiwan). | - | Yes |
emotion | Choose the emotion to apply to the selected voice.
The supported emotions vary depending on which voice (i.e. “voice_id”) is selected. The emotion range includes: "neutral", "angry", "happy", "sad", "fearful", "surprised".
If not provided, the default value is “neutral”.
If the selected voice does not support the requested emotion, an error is returned. | - | No |
text | Enter the text to synthesize. | - | Yes |
Resources
Vendor resources
Support
Vendor support
NCSOFT R&D Center, 12, Daewangpangyo-ro 644beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea Tel :02-6201-0099/Email :nc-ai@ncsoft.comÂ
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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