Use Cases
- Creating brand voices
- Creating voice ads or for podcasts
- Generating human-like voice for digital avatars
- Indoor navigation for hospitals
- Indoor navigation for museums
Frequently Asked Questions
For now we support English, German, Spanish, Russian, and Thai
A 1000-hour heterogeneous speech training dataset is required to develop a new language. Exact terms will be subject to the quality of this dataset and whether a model for this language already exists or not.
SSML (Speech Synthesis Markup Language) is a markup language made for speech synthesis applications. It is used to apply tweaks and adjustments to synthetic voices, e.g., to make the voice higher on a specific part of speech.
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