Somali speech intelligence
AFTA Voices — Somali ASR & TTS engine
Real-time ASR, neural TTS, and audio analytics built for Somali call centers, media, accessibility products, and institutional platforms.
Streaming & batch ASR
Speech-to-text tuned for production workloads where latency, robustness, and accuracy matter at the same time.
- Low-latency ASR over gRPC / WebSocket for live calls and media
- High-throughput batch pipelines for archives and recordings
- Word-level timestamps, segmentation, and confidence scores
- Diarization and channel separation for multi-speaker audio
Neural Somali TTS
Natural Somali neural voices for assistants, IVR, learning, and public information — optimized for clarity and comfort.
- Multiple Somali voices and speaking styles
- SSML control for emphasis, pacing, and prosody
- Deployment via API, on-premise, or private cloud
- Ready for IVR, agents, education, and accessibility
Real-world operations
Engineered to sit inside existing platforms rather than as a standalone demo.
- Scalable APIs and streaming endpoints
- Monitoring and evaluation through AFTA Data Studio
- Support for domain- and channel-specific tuning
Integrations & protocols
Designed to plug into the stacks you already run.
Part of the Somali AI stack
AFTA Voices works alongside AFTA Lex and AFTA Data Studio, forming the speech layer of a broader Somali AI stack — from raw audio through to evaluation.
Built for Somali environments
Models are tuned for Somali speech patterns, code-switching, and local acoustic conditions, making them deployable in real contact-center, media, and public-sector environments.