In development
K-TTS
A text-to-speech model built for three languages that general-purpose voices handle poorly together. Yoruba is tonal and diacritic-sensitive, Arabic needs correct vowelling and right-to-left handling, and most systems apply an English cadence to both. K-TTS is trained to avoid that.
- Status
- In development
- Availability
- Not yet released
- API
- In development
What makes three languages hard
Each of these is handled poorly by general-purpose voices, and handled worse when a sentence moves between them.
Tone-aware Yoruba
Tone marks change meaning, so they are trained as signal rather than stripped as noise.
Diacritic-sensitive Arabic
Correct vowelling, and right-to-left text handled without mangling the output.
Code-switched input
A sentence that moves between languages mid-way, spoken without an English accent applied to all of it.
Per-language evaluation
Scored separately in each language, because one aggregate number hides the weakest of the three.
Where this stands today
K-TTS is in active training and is not available yet. We are working from native-speaker recordings across all three languages rather than adapting an English model and hoping the prosody transfers. There is no public API and no waitlist theatre — if this is something you need, tell us what for, and we will come back to you when there is a build worth your time.
Tell us what you need it for
We would rather hear the use case early than guess at it. It shapes what we train for.