How does Korean Text to Speech work?
- WaveNet. WaveNet is a deep generative model that creates raw audio waveforms, producing high-fidelity and human-like speech.
- HMM (Hidden Markov Model). HMM is a statistical model that represents the audio signal as a sequence of states, effectively capturing the phonetic aspects of speech.
- Tacotron. Tacotron is an end-to-end speech synthesis architecture that directly converts text to spectrograms, which are then turned into audio.
- Neural TTS. Neural TTS uses deep learning techniques to synthesize speech from text, resulting in more natural-sounding voice output.
