
**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
{"language": "rw", "library_name": "fastpitch", "tags": ["fastpitch", "waveglow", "text-to-speech"], "datasets": ["mbazaNLP/kinyarwanda-tts-dataset"], "task": "text-to-speech", "widget": [{"text": "Muraho neza, murakaza neza mu Rwanda.", "example_title": "Muraho neza, murakaza neza mu Rwanda."}]}
fastpitch waveglow text-to-speech rw dataset:mbazaNLP/kinyarwanda-tts-dataset region:us
TAGS
#fastpitch #waveglow #text-to-speech #rw #dataset-mbazaNLP/kinyarwanda-tts-dataset #region-us 

Model card - Kinyarwanda TTS model


Model details


* Kinyarwanda Text to Speech model
* Developed by Digital Umuganda, Arxia and Zevo Tech
* Model based from: Fastspeech and Waveglow
* License: Mozilla 2.0 License
* Feedback on the model: samuel@URL


Metrics


* We use Mean Opinion Score (MOS) to evaluate the model with a maximum score being 5



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



TAGS
#fastpitch #waveglow #text-to-speech #rw #dataset-mbazaNLP/kinyarwanda-tts-dataset #region-us 

passage: TAGS
#fastpitch #waveglow #text-to-speech #rw #dataset-mbazaNLP/kinyarwanda-tts-dataset #region-us 
