How does Yoruba Text to Speech work?
- Text-to-Speech (TTS) Engine. This method uses algorithms to convert written text into spoken words by analyzing the phonetic structure of the Yoruba language.
- Natural Language Processing (NLP). NLP techniques help the system understand context, tone, and nuances of the Yoruba language, improving the quality of the synthesized speech.
- Deep Learning Models. These models are trained on large datasets of Yoruba speech, enabling the system to produce more natural and expressive audio outputs.
- Synthesis Techniques. Various synthesis techniques, including concatenative synthesis and parametric synthesis, are employed to generate high-quality sound from text input.