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neodeskagent71/Vip-bangla-emotional-tts
Vip-bangla-emotional-tts is a text-to-speech model from neodeskagent71. Use it when you need text read aloud. The card lists the license as apache-2.0.
This is a Text-to-Speech model for Bangla (Bengali) language based on the Orpheus architecture. The model can generate natural-sounding Bangla speech from text input with various emotional styles.
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From the Hugging Face model README
This is a Text-to-Speech model for Bangla (Bengali) language based on the Orpheus architecture. The model can generate natural-sounding Bangla speech from text input with various emotional styles.
Try out the model directly using our Hugging Face Space: <a href="https://huggingface.co/spaces/ehzawad/orpheus-bangla-emotional-tts-demo" target="_blank"> <img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="Open in HF Spaces"/> </a>
This model supports the following emotional styles:
from transformers import AutoModelForCausalLM, AutoTokenizer
from snac import SNAC
import torch
import soundfile as sf
# Load the models
tokenizer = AutoTokenizer.from_pretrained("ehzawad/orpheus-bangla-emotional-tts")
model = AutoModelForCausalLM.from_pretrained(
"ehzawad/orpheus-bangla-emotional-tts",
torch_dtype=torch.bfloat16,
device_map="auto"
)
snac_model = SNAC.from_pretrained("hubertsiuzdak/snac_24khz").to("cuda")
# Sample prompt in Bangla
prompt = "আপনি কেমন আছেন?" # "How are you?" in Bangla
# For emotional speech, add the emotion tag (e.g., for happy)
emotional_prompt = "<happy>আপনি কেমন আছেন?</happy>"
# Add your inference code here
# (Follow the example_usage.py code for complete inference)
If you use this model, please cite:
@misc{ehzawad2025orpheusbangla,
author = {Ehzawad},
title = {Orpheus Bangla Emotional TTS},
year = {2025},
publisher = {HuggingFace},
howpublished = {\url{https://huggingface.co/ehzawad/orpheus-bangla-emotional-tts}}
}
This model is based on the Orpheus TTS architecture developed by Canopy Labs. We extend our gratitude to the original authors for their work.