Overview
VARCO TTS LITE is a low-latency, high-throughput engine for large-scale real-time speech synthesis. It offers a wide range of voices optimized for in-game characters-NPCs, avatars, and story narration- while keeping audio quality stable and consistent across sessions.
To avoid issues often seen in AR (autoregressive) models, such as irregular pronunciation or instability in audio quality, the system tightly controls pitch, duration, and energy prediction, and applies deterministic synthesis to deliver the same quality every time.
Highlights
- Game-focused voices: Supports diverse speakers suited to NPCs, avatars, and other in-game interactions
- Stable sound quality: Deterministic synthesis guarantees reproducibility and minimizes random artifacts
- Low-latency response: Ideal for content that requires fast turnaround
Details
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Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g4dn.xlarge Inference (Batch) Recommended | Model inference on the ml.g4dn.xlarge instance type, batch mode | $5.00 |
ml.g5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.xlarge instance type, real-time mode | $5.00 |
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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.
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Initial release
Additional details
Inputs
- Summary
Accepts input in a JSON format
- Input MIME type
- application/json
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 |
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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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