readme: ---
  library_name: fastpitch
  task: text-to-speech
  tags:
  - fastpitch
  - waveglow
  - text-to-speech
  language: rw
  datasets:
  - mbazaNLP/kinyarwanda-tts-dataset
  widget:
  - text: "Muraho neza, murakaza neza mu Rwanda."
    example_title: "Muraho neza, murakaza neza mu Rwanda."
  ---
  
  **Model card - Kinyarwanda TTS model**
  
  **Model details**
  - Kinyarwanda Text to Speech model
  - Developed by [Digital Umuganda](digitalumuganda.com), [Arxia](https://www.arxia.com/home.html) and [Zevo Tech](https://zevo-tech.com/)
  - Model based from: Fastspeech and Waveglow
  - License: Mozilla 2.0 License
  - Feedback on the model: samuel@digitalumuganda.com
  
  **Metrics**
  - We use Mean Opinion Score (MOS) to evaluate the model with a maximum score being 5
  
  |Test Corpus|MOS|
  |-----------|---|
  |Custom phrases|3|
  
  **Challenges**
  - The model does not always capture the Kinyarwanda tones
  
  **Recommendations**
  - Use a tonal dictionary to train future models
  - Add a numbers and symbols Dictionary
  - Create a code-switching dictionary containing foreign words used in Kinyarwanda