Marmaspeak Tts V1

🚀 MarmaSpeakTTS: Text-to-Speech Model for Marma Language

MarmaSpeakTTS is a text-to-speech model designed to synthesize speech in the Marma language, serving the Marma people in Bangladesh and Myanmar.

🚀 Quick Start

This model can be used with the 🤗 Transformers library:

from transformers import VitsModel, AutoTokenizer, pipeline
import scipy.io.wavfile

# Load model and tokenizer
model = VitsModel.from_pretrained("CLEAR-Global/marmaspeak-tts-v1")
tokenizer = AutoTokenizer.from_pretrained("CLEAR-Global/marmaspeak-tts-v1")

# Create a pipeline
synthesizer = pipeline("text-to-speech", model=model, tokenizer=tokenizer)

# Synthesize text
text = "ကိုတော် ဇာမာ နီရေလည်း၊"  # Marma text example
output = synthesizer(text)

# Save to file
scipy.io.wavfile.write("output.wav", rate=16000, data=output["audio"][0])

✨ Features

• Language Support: Provides text-to-speech synthesis for the Marma language (ISO code: rmz), a Tibeto - Burman language.

📦 Installation

The README does not provide specific installation steps, so this section is skipped.

💻 Usage Examples

Basic Usage

from transformers import VitsModel, AutoTokenizer, pipeline
import scipy.io.wavfile

# Load model and tokenizer
model = VitsModel.from_pretrained("CLEAR-Global/marmaspeak-tts-v1")
tokenizer = AutoTokenizer.from_pretrained("CLEAR-Global/marmaspeak-tts-v1")

# Create a pipeline
synthesizer = pipeline("text-to-speech", model=model, tokenizer=tokenizer)

# Synthesize text
text = "ကိုတော် ဇာမာ နီရေလည်း၊"  # Marma text example
output = synthesizer(text)

# Save to file
scipy.io.wavfile.write("output.wav", rate=16000, data=output["audio"][0])

📚 Documentation

Model Details

Limitations and Biases

• This is an early version of the model and may have limitations in pronunciation and naturalness.
• The model works best with properly normalized Marma text.
• Performance may vary based on the complexity and length of the input text.

Training

The model was fine-tuned from a Massively Multilingual Speech (MMS) VITS model using this training recipe.

Ethical Considerations

This model has been developed with permission and input from Marma language speakers. The voice synthesis should be used responsibly and respectfully.

📄 License

The model is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license.

📚 Citation

@misc{marma-tts,
  author = {CLEAR Global},
  title = {MarmaSpeakTTS: A Text-to-Speech Model for Marma Language},
  year = {2025},
  howpublished = {https://huggingface.co/CLEAR-Global/marmaspeak-tts-v1}
}