How does Mongolian Text to Speech work?
- Concatenative Synthesis. This method involves stitching together pre-recorded speech segments to form complete words and sentences, resulting in high-quality and natural-sounding output.
- Parametric Synthesis. Instead of using static recordings, this approach generates speech based on algorithms that simulate human speech patterns and intonation.
- Deep Learning Techniques. Utilizing neural networks, this method learns from large datasets of spoken language to produce more expressive and varied speech outputs.
- Rule-based Synthesis. This traditional method applies linguistic rules to convert text into phonetic representations before generating speech, ensuring accurate pronunciation and articulation.
