WaveTTS
WaveTTS
**WaveTTS** is a [Tacotron](https://paperswithcode.com/method/tacotron)-based text-to-speech architecture that has two loss functions: 1) time-domain loss, denoted as the waveform loss, that measures the distortion between the natural and generated waveform; and 2) frequency-domain loss, that measures the Mel-scale acoustic feature loss between the natural and generated acoustic features.

The motivation arises from [Tacotron 2](https://paperswithcode.com/method/tacotron-2). Here its feature prediction network is trained independently of the [WaveNet](https://paperswithcode.com/method/wavenet) vocoder. At run-time, the feature prediction network and WaveNet vocoder are artificially joined together. As a result, the framework suffers from the mismatch between frequency-domain acoustic features and time-domain waveform. To overcome such mismatch, WaveTTS uses a joint time-frequency domain loss for TTS that effectively improves the synthesized voice quality.
WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss
https://paperswithcode.com/paper/wavetts-tacotron-based-tts-with-joint-time
WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss