Speech, Audio & NLP
Custom Bangladeshi-Accent Bangla TTS
HawkEyes · Custom-TTS-Bangla-Accent-VITS-XTTSv2 · current focus · 2026
A VITS text-to-speech model with a grapheme frontend, built to give production voice agents a natural Bangladeshi accent.
Coqui VITSPyTorchtorchaudiolibrosaBangla NLP
- 90
- commits · very active
- VITS
- + grapheme frontend
- current
- primary focus(CV)
Problem
Natural Bangla speech synthesis is a low-resource challenge, and off-the-shelf voices lack a genuine Bangladeshi accent — a blocker for deploying trustworthy AI call agents for hospital appointment automation, sales, and support.
Approach
- 01Fine-tune VITS with a purpose-built Bangla text frontend: Unicode NFC normalization, zero-width handling, danda/digit normalization via a grapheme-based approach.
- 02Build the supporting speech-dataset pipeline (genMaxTxt): transcribe with Google Cloud Speech, normalize transcripts with Gemini, and align audio to spreadsheet entries.
- 03Target deployment inside the real-time voice agent for inbound/outbound call automation.
Results & Impact
- An end-to-end Bangla TTS recipe under very active development (90 commits) — the author's current primary focus.
- Designed to plug directly into the production voice agent to unlock Bangla telephony automation.— CV-sourced
Related repositories
Custom-TTS-Bangla-Accent-VITS-XTTSv2
Bangla text-to-speech fine-tuning (Coqui VITS + grapheme frontend, expanding toward XTTSv2).
genMaxTxt
Speech-to-text dataset builder (Cloud Speech + Gemini normalization).
Voice-AI-Agent
Production real-time conversational voice agent (WebRTC → STT → LangGraph → TTS).