---
license: apache-2.0
---


# Swahili MMS TTS - Finetuned Model

This is a fine-tuned version of the Facebook MMS (Massively Multilingual Speech) model for Swahili Text-to-Speech (TTS). The model was fine-tuned to improve Swahili pronunciation and performance using custom audio datasets.

## Model Details

- **Model Name**: Swahili MMS TTS - Finetuned
- **Languages Supported**: Swahili
- **Base Model**: Facebook MMS
- **Use Case**: Text-to-Speech for Swahili language, suitable for generating high-quality speech from text.

## Training Details

The fine-tuning process was done using a custom dataset of Swahili voice samples to improve the fluency and accuracy of the original MMS model in Swahili. This resulted in enhanced pronunciation and natural-sounding speech for Swahili.

You can check out the code and process used in the fine-tuning by visiting the [GitHub repository](https://github.com/benny-png/Swahili-model-for-Audio-Text-to-Speech).

## How to Use

You can load and use the model directly from the Hugging Face model hub:

```python
from transformers import pipeline

# Load the fine-tuned model
tts = pipeline("text-to-speech", model="Benjamin-png/swahili-mms-tts-finetuned")

# Generate speech from text
speech = tts("Habari, karibu kwenye mfumo wetu wa kusikiliza kwa Kiswahili.")
```

## Example Notebook

If you're interested in reproducing the fine-tuning process or using the model for similar purposes, you can check out the Google Colab notebook that outlines the entire process:

- [Google Colab Notebook](upload file to Google Drive and provide the link here)

The notebook includes detailed steps on how to fine-tune the MMS model for Swahili TTS.

## GitHub Repository

For further exploration and code snippets, visit the [GitHub repository](https://github.com/benny-png/Swahili-model-for-Audio-Text-to-Speech) where you’ll find additional scripts, datasets, and instructions for customizing the model.

## License

This project is licensed under the terms of the apache License.