STATUS: DEPLOYED v1.0TYPE: NLP_CORE
Dára Voice Core
High-fidelity speech synthesis and recognition engine optimized for tonal complexity in West African languages.
[Physical_Device_Render_View]
FIG 01.0
PROTOTYPE CHASSIS
Input: Audio StreamProcessing: Tensor CoreOutput: Semantic Map
Technical Specifications
LATENCY
180ms
End-to-End
VOCABULARY
2.4M
Tokens
ARCHITECTURE
Transformer-Transducer
Hybrid
LANGUAGES
Yoruba, Igbo, Hausa
+ Pidgin English
Operational Logic
Dára operates on a proprietary tonal-mapping algorithm. Unlike standard Western models that rely heavily on phonemes, Dára prioritizes pitch contour to accurate distinguish meaning in tonal African languages.
Deployed on edge devices, the core is stripped of all non-essential parameters, allowing it to run purely on local compute without constant cloud dependence.