BanglaAccent: Annotated Bangla Dialects with Demographic Metadata

Desher Vasha is a curated speech dataset capturing dialectal variation across more than 20 distinct regions of Bangladesh. Designed to support linguistic research, educational tools, and low-resource NLP development, the corpus includes voice recordings annotated with rich metadata such as speaker location, age, gender, and dialectal features.

Use Cases
• Linguistic research: Dialect classification, phoneme variation, sociolinguistic mapping
• Educational tools: Role-based apps for dialect awareness and pronunciation training
• NLP & ASR: Benchmarking for Bangla speech recognition, especially in low-resource and dialect-sensitive contexts
• Cultural preservation: Documenting endangered or underrepresented dialects