ClariNet

2000년 도입 · 논문 7편에서 사용

ClariNet is an end-to-end text-to-speech architecture. Unlike previous TTS systems which use text-to-spectogram models with a separate waveform synthesizer (vocoder), ClariNet is a text-to-wave architecture that is fully convolutional and can be trained from scratch. In ClariNet, the WaveNet module is conditioned on the hidden states instead of the mel-spectogram. The architecture is otherwise based on Deep Voice 3.

출처: ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech

소개 논문: ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech