How does Russian Text to Speech work?
- Concatenative TTS. This method uses pre-recorded speech segments that are concatenated to form continuous speech. It provides high naturalness but requires a large dataset.
- Parametric TTS. This method generates speech waveforms based on parameters derived from linguistic and acoustic models. It allows for greater flexibility and lower data requirements.
- Neural TTS. Neural TTS utilizes deep learning models to produce highly realistic and expressive speech. It is known for its high-quality voice output and natural prosody.
- Text-to-Speech Markup Language (SSML). SSML provides emotions, pauses, and pronunciations to enhance the speech output's expressiveness and intelligibility, allowing for customization of TTS voices.