How does Swahili Text to Speech work?
- Text Analysis. This method analyzes the grammatical structure of the input text to ensure accurate pronunciation and intonation.
- Voice Synthesis. Voice synthesis converts the processed text into speech using pre-recorded voice samples or generated voice data.
- Natural Language Processing. NLP techniques are used to understand context and nuances in the Swahili language, improving the output's fluency.
- Machine Learning. Machine learning algorithms improve the accuracy and adaptability of the voice models over time, enhancing user experience.