ClariNet
ClariNet
**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](https://paperswithcode.com/method/synthesizer) (vocoder), ClariNet is a text-to-wave architecture that is fully convolutional and can be trained from scratch. In ClariNet, the [WaveNet](https://paperswithcode.com/method/wavenet) module is conditioned on the hidden states instead of the mel-spectogram. The architecture is otherwise based on [Deep Voice 3](https://paperswithcode.com/method/deep-voice-3).
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
https://paperswithcode.com/paper/clarinet-parallel-wave-generation-in-end-to
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech