Methods › Sequential › Sequence To Sequence Models › WaveTTS
WaveTTS
Introduced by Rui Liu et al. in WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
WaveTTS is a 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. Here its feature prediction network is trained independently of the 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.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss 2 Feb 2020 · 0 repositories · arXiv:2002.00417
Tasks archive 2025-07-28
2 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Text to Speech | 1 |
| text-to-speech | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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