Case Studies
How We Built a Voice for Millions
Urdu Text to Speech System
At dataquartz, we took on a mission to give voice to millions of Urdu speakers through the development of a powerful, human like Urdu Text to Speech (TTS) system. In a region where digital accessibility is often limited by language barriers, our solution bridges the gap by turning written Urdu content into clear, natural, and expressive speech.
The Challenge & Our Approach
The Challenge
Visually impaired users lacked access to Urdu language screen readers
Existing systems weren't equipped to support native language interaction
Created barriers to digital accessibility and independence for blind users
Our Approach
Built a robust Urdu Text to Speech model using a custom curated 100,000 word dataset
Trained with both male and female voices to support contextual and gender inclusive usage
Seamlessly integrated with NVDA through a one click plugin for easy accessibility
Solution Architecture & Implementation
Custom Dataset
- 100,000 word custom curated corpus
- Focused on Urdu language specifics
- Balanced representation of vocabulary
- 100,000 words
Voice Training
- Dual gender voice support (male & female)
- Contextual pronunciation adaptation
- Feedback driven model tuning
- Continuous Improvement
NVDA Integration
- Seamless one click plugin installation
- Voice guided setup process
- Real world usability designed
- One click Installation
Measurable Impact & Results
Key Performance Metrics
Real-World Usability
Enabled real-world usability for blind users through voice-guided navigation
Improved daily accessibility
Lowered Barriers
One-click installer significantly lowered the barrier to adoption
Simplified setup process
Voice-Guided Setup
Voice-guided setup experience enhanced user confidence and independence
Intuitive user experience