The voiceprint of Bangladesh, turning diverse regional dialects into high-quality annotated data for next-generation AI.
Location
Domain
Status
"To preserve regional dialects of Bangladesh, digitize spoken variations of Bangla, and build a high-quality annotated dataset for AI research and language technology."
Bangladesh speaks Bangla, but Bangladesh lives in dialects. A greeting in Chittagong carries a different melody than one in Sylhet. In Rangpur, the same words sound warmer, closer to the soil, while in Barishal, they flow like the rivers that shape the region. At Fixensy, language is not just data — it is identity, culture, and a living voice.
Lack of structured datasets for Bangladeshi regional dialects
Major differences in pronunciation and meaning across regions
Difficulty capturing emotion, tone, and real conversational flow
Inconsistent annotations due to the absence of standardized linguistic rules for dialect labeling
The need for high accuracy transcription and intent tagging, which requires time and trained human expertise
"Building this dataset demanded more than just technology. It required people who spoke the language from the heart."
Fixensy Strategy Team
Operational Directive
High Precision Operational Model
Stage 01
Converting spoken dialects into text exactly as spoken
Stage 02
Adding the standard Bangla equivalent for each sentence
Stage 03
Identifying emotions, requests, questions, and sentiment
Stage 04
Tagging people, places, professions, and context
120,000+
Audio Samples
98%
Transcription Accuracy
92%
Annotation Consistency
300+
Native Contributors
120,000+ regional spoken audio samples delivered
45 trained annotators involved in dataset labeling
Developed Bangladesh’s first region-wise annotated spoken Bangla dataset prototype
"I never imagined my village dialect would one day be learned by AI. It made me feel like our voices truly matter."
Project Participant
Digital Empowerment Initiative
AI must learn people’s real voices, not just textbook language
Including regional dialects makes language models more accurate, inclusive, and culturally aware
Language preservation can also become digital empowerment
When technology values local voices, people begin to see themselves in the future of innovation