Roots Magana

Magana — Hausa for “speech”, “talk”, “utterance” — paired with Roots: a foundational infrastructure layer we are building intentionally from the ground up for African phonetics, morphosyntactic structures, and accents.

African Speech, From the Ground Up

Roots Magana is an ongoing research initiative exploring a speech foundation model designed specifically for the linguistic realities of the continent. We are investigating an acoustic-to-text fine-tuning layer that natively handles code-switching and accented English/French, alongside a non-autoregressive conditional flow-matching TTS model that aims to respect tonal variations and diacritics.

ASR + TTS
Unified Research
Code-switch
Exploring
Tonal
Aware TTS
Roots Magana-ASR · acoustic-to-text
Research
Roots Magana-TTS · flow-matching
Exploring
Roots Magana-Large · server-side
Prototype
Roots Magana-Edge · INT8/FP8
Exploratory

A Unified Speech Stack in the Making

The Roots Magana Engine is the proposed overarching production-grade STT/TTS pipeline — with specialised layers for ASR, TTS, and deployment at the edge, all currently under active investigation.

Ongoing Research

Roots Magana Engine

The proposed overarching production-grade STT/TTS pipeline — orchestration, routing, and quality assurance for every speech interaction. Currently in the design and prototyping phase.

Research in Progress
Speech Recognition

Roots Magana-ASR

The acoustic-to-text fine-tuning layer we are developing for code-switching and accented English/French — built on African phonetics. Currently exploring data collection and tokenizer design.

Active Research
Speech Synthesis

Roots Magana-TTS

A non-autoregressive conditional flow-matching model we are exploring to handle tonal variations and diacritics natively. Early-stage experimentation with flow-matching architectures.

In Development

Potential Model Flavors

As part of ongoing research, we are evaluating different variations for different production requirements — from high-accuracy cloud processing to low-latency streaming on local telecom IVRs.

Roots Magana-Large (Pro)

Cloud · High Accuracy · Research Direction

A potential full server-side foundation model utilising an expanded morphology-aware tokenizer for high-accuracy cloud processing. We are evaluating its feasibility for enterprise ASR and TTS workloads where precision matters.

Full tokenizer Server-side High accuracy

Roots Magana-Edge

Local · Low Latency · Research Direction

An INT8/FP8 quantized execution engine direction we are exploring for low-latency streaming inside local telecom IVRs and offline devices — aiming for real-time speech without the cloud round-trip.

INT8/FP8 Offline capable Low latency

Partner on Roots Magana

Interested in collaborating on African speech foundation research, exploring the Roots Magana Engine, or discussing edge deployment directions? Let’s talk.