A voice for
every touch.

We build AI-powered assistive technology for the DeafBlind community — enabling true two-way conversation through Speech2Braille and Braille2Speech, running entirely offline on affordable hardware.

Breaking the
wall of isolation

DeafBlind individuals face profound isolation — unable to hear or see, yet possessing the full capacity for thought, feeling, and connection. AI4DeafBlind exists to dismantle that barrier using affordable, offline-capable AI that works in the real world — not just in a lab.

A fully bidirectional
conversation

Anyone can speak to a DeafBlind person — and any DeafBlind person can speak back.

Word Error Rate — Whisper Tiny (ID)
<20%
Real-Time Factor on Raspberry Pi 5
<1s
Internet required — Fully offline
0G
Target device cost — Pi 5 platform
$150

From spoken word
to fingertip

A sighted person speaks Indonesian. In under one second, the words appear as Braille on the DeafBlind person's display — no internet, no cloud, no intermediary.

  1. Speech Input

    Spoken Indonesian via microphone

  2. Whisper Tiny

    Fine-tuned ASR, <20% WER, <1s RTF

  3. Liblouis

    Indonesian Braille translation

  4. Braille Display

    BRLTTY → any Braille display

From fingertip
to spoken word

A DeafBlind person types on their Perkins Keyboard. Their words are instantly spoken aloud — giving them a real voice in any conversation, without any special training required of listeners.

  1. Perkins Key

    Braille typed on 6-key Perkins input

  2. Liblouis

    Braille decoded to Indonesian text

  3. Piper TTS

    Neural text-to-speech on-device

  4. Audio Output

    Natural voice heard by the room

Testing with real users
in the field

Our first field deployment is with Helen Keller Indonesia at their school in Yogyakarta — putting our bidirectional smart speaker directly into the hands of the DeafBlind community.

Caregivers, teachers, and family members speak naturally in Indonesian — DeafBlind students read the words on their Braille display in real time. And when the DeafBlind student responds via their Perkins Keyboard, their words are spoken aloud for everyone to hear. A true conversation, at last.

🤝

Field Partner

Helen Keller Indonesia — Yogyakarta

Device Finalization

Hardware assembly and software packaging on Raspberry Pi 5

Partner Briefing

Coordination with Helen Keller Indonesia's teaching staff and caregivers

Yogyakarta Field Test

Live deployment at the school — real users, real conversations, real impact

Evaluation & Iteration

Collect feedback, measure usability, refine the system for broader rollout

Open Source Release

Publishing code, Indonesian Braille table, and fine-tuned model weights

Sharing what
we discover

01

Speech2Braille: Real-Time Indonesian ASR for DeafBlind Assistive Technology on Edge Devices

Technical Journal · Whisper Fine-tuning · GigaSpeech2 · Mozilla Common Voice ID v7.0

Upcoming
02

Braille2Speech: Perkins Keyboard to Natural Voice via Liblouis and Piper TTS on Raspberry Pi

Technical Journal · Piper TTS · Perkins Input · Indonesian Braille · Edge Inference

Upcoming
03

Extending Liblouis with Indonesian Braille: Methodology and Open-Source Contribution

Open Source Publication · Braille Table · Liblouis · BRLTTY · Bidirectional Translation

Upcoming
04

Offline AI for Accessibility: Lessons from Deploying Bidirectional Speech–Braille in Yogyakarta

Disability Studies · Social Impact · Field Research · Helen Keller Indonesia

In Progress
05

Low-Cost, High-Impact: The Case for Raspberry Pi in Disability Assistive Technology

Disability Publication · Affordability · Emerging Markets · Global South

In Progress

Let's build
this together

Researchers, clinicians, disability advocates, and institutions — we welcome collaboration, feedback, and partnership to bring Speech2Braille and Braille2Speech to more communities around the world.

Get In Touch

Meet the team