🗣️ Menstrual Bangla TTS

📌 Model Overview

This model is a LoRA-adapted version of VoxCPM designed for:

Bangla speech synthesis
Domain-specific menstrual health narration
Clean and natural TTS output
Lightweight inference

Base Model: VoxCPM-0.5B
Fine-tuning: LoRA
Language: Bangla

🚀 Installation

Install required dependencies:

pip install torch soundfile transformers huggingface_hub

🔑 Authentication (Required for Private Models)

If the repository is private, authenticate using:

huggingface-cli login

OR in Python:

from huggingface_hub import login
login()

Use your own Hugging Face access token.

💻 Usage Example

import sys
from huggingface_hub import snapshot_download
from pathlib import Path
import soundfile as sf

Replace with your repo path if under organization

repo_id = "SibgatUl/menstrual_bangla_tts"

Download model files

local_dir = snapshot_download(repo_id=repo_id)
print("Downloaded to:", local_dir)

ROOT = Path(local_dir)

Add local model paths

sys.path.insert(0, str(ROOT))
sys.path.insert(0, str(ROOT / "VoxCPM"))

Import loader

from load_model import load_menstrual_bangla_tts

Load model

model = load_menstrual_bangla_tts(str(ROOT))

Generate audio

audio = model.generate(
text="এটি একটি পরীক্ষা",
cfg_value=2.0,
inference_timesteps=10,
)

Save output

sf.write("output.wav", audio, model.tts_model.sample_rate)

print("Generation successful.")

⚙️ Generation Parameters

text — Bangla text input
cfg_value — Guidance strength (default ~2.0)
inference_timesteps — Number of diffusion steps (higher = better quality but slower)

Recommended configuration:

cfg_value = 2.0
inference_timesteps = 10–20

👤 Author

Developed by Maisha Rahman
Affiliation: Machine Intelligence Lab