sudoping01
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bambara-tts

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 ---
 library_name: transformers
-tags: []
 ---
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 ---
 library_name: transformers
+base_model: facebook/mms-tts
+tags:
+- text-to-speech
+- vits
+- mms
+- multilingual
+- Open-Source
+- Mali
+- MALIBA-AI
+language:
+- bm
+- son
+- dgc
+- fuf
+- bbo
+- tmh
+language_bcp47:
+- bm-ML
+- son-ML
+- dgc-ML
+- fuf-ML
+- bbo-ML
+- tmh-ML
+model-index:
+- name: malian-tts
+  results:
+  - task:
+      name: text-to-speech
+      type: speech-synthesis
+    metrics:
+    - name: Subjective Quality
+      type: MOS
+      value: "N/A"
+pipeline_tag: text-to-speech
+license: cc-by-nc-4.0
 ---
 # Model Card for Model ID
+# MALIBA TTS: Text-to-Speech Models for Six Malian Languages 🇲🇱
+## Table of Contents
+- [Introduction](#introduction)
+- [Technical Specifications](#technical-specifications)
+- [Installation](#installation)
+- [Usage](#usage)
+- [Limitations](#limitations)
+- [References](#references)
+- [License](#license)
+- [Contributing](#contributing)
+## Introduction
+MALIBA TTS is a collection of text-to-speech models for six Malian languages. These models represent a significant advancement for digital accessibility of Malian languages.
+**Key Points:**
+- Models available for 6 languages: **Bambara, Boomu, Dogon, Pular, Songhoy, and Tamasheq**
+- Based on VITS architecture and Meta's MMS model
+- Optimized for resource-constrained environments
+- Preserves the linguistic authenticity of Malian languages
+## Technical Specifications
+### Model Specifications
+- **Architecture**: VITS (Variational Inference with adversarial learning for end-to-end TTS)
+- **Base Model**: Meta's MMS (Massively Multilingual Speech)
+- **Model Size**: 145 MB per language
+- **Format**: PyTorch
+- **Sampling Rate**: 16kHz
+- **Audio Encoding**: 16-bit PCM
+### Performance
+- **Inference**: Optimized to run on CPU
+- **Inference Time**: Varies based on text length and language
+- **Memory Requirements**: ~4GB RAM recommended
+## Installation
+```
+        Coming soon
+```
+###  Usage
+```python
+        coming soon
+```
+## Limitations
+- Reduced performance on very long phrases (manual segmentation recommended)
+- Quality varies by language and dialect
+- French or English loanwords may have inaccurate pronunciation
+- Limited support for numbers and dates
+- The model performs best with grammatically correct texts
+## References
+```bibtex
+@misc{malian-tts,
+  author = {MALIBA-AI},
+  title = {Text-to-Speech Models for Six Malian Languages},
+  year = {2025},
+  publisher = {HuggingFace},
+  howpublished = {\url{https://huggingface.co/MALIBA-AI/malian-tts}}
+}
+@article{kim2021conditional,
+  title={Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech},
+  author={Kim, Jaehyeon and Kong, Jungil and Son, Juhee},
+  journal={International Conference on Machine Learning},
+  year={2021}
+}
+@article{meta2023mms,
+  title={Scaling Speech Technology to 1,000+ Languages},
+  author={A. Pratap and others},
+  journal={arXiv preprint arXiv:2305.13516},
+  year={2023}
+}
+```
+## License
+This project is licensed under CC BY-NC 4.0 (Attribution-NonCommercial).
+### Terms of Use
+- Users agree to use the model in a way that respects Malian languages and culture.
+- We encourage the use of these models to develop solutions that improve digital accessibility for speakers of Malian languages.
+- Any use of the models must acknowledge MALIBA-AI as original creator.
+- Commercial usage is not allow.
+## Contributing
+MALIBA TTS is a project part of the MALIBA-AI initiative with the mission "No Malian Language Left Behind." We welcome contributions from:
+- **Language Experts**: To improve the quality and accuracy of the models
+- **Developers**: To create applications using these models
+- **Researchers**: To explore technical improvements and optimizations
+- **Data Contributors**: To enrich the training data
+To contribute, please visit [MALIBA-AI](https://huggingface.co/MALIBA-AI) or contact [coming soon]directly.
+---
+**MALIBA-AI: Empowering Mali's Future Through Community-Driven AI Innovation**
+*"No Malian Language Left Behind"*