Orpheus Bangla Emotional TTS Model
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.
🎮 Demo
Try out the model directly using our Hugging Face Space:
Model Details
- Model Type: Text-to-Speech
- Language: Bangla (Bengali)
- Architecture: Orpheus TTS + SNAC decoder
- Sample Rate: 24kHz
- Special Features: Emotional speech synthesis
- Emotions: Various emotional tones including happy, sad, angry, disgusted, frustrated, excited, curious, surprised, etc.
Supported Emotions
This model supports the following emotional styles:
- happy
- normal
- disgust
- sad
- frustrated
- slow
- excited
- whisper
- panicky
- curious
- surprise
- fast
- crying
- deep
- sleepy
- angry
- high
- shout
Usage
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)
Citation
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}}
}
Acknowledgements
This model is based on the Orpheus TTS architecture developed by Canopy Labs. We extend our gratitude to the original authors for their work.