How does Kannada Text to Speech work?
- Phonetic Analysis. This method involves breaking down the text into phonemes, which are the smallest units of sound, to create natural-sounding speech.
- Speech Synthesis. Utilizes algorithms to transform the analyzed phonetic data into coherent spoken language, mimicking human intonation and pronunciation.
- Machine Learning. Employs machine learning techniques to improve the accuracy and fluency of speech synthesis by learning from large datasets of spoken Kannada.
- Waveform Generation. Generates the final audio waveform representing the speech output, ensuring it sounds realistic and clear for the listener.
