soobinseo/Transformer-TTS

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

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Established

Implements end-to-end mel-spectrogram synthesis using multi-head self-attention in both encoder and decoder, achieving 3-4x faster training than seq2seq baselines like Tacotron. Replaces the WaveNet vocoder with a CBHG-based postnet and Griffin-Lim vocoding for waveform reconstruction. Trained on LJSpeech with Noam-style learning rate scheduling and gradient clipping, with pretrained checkpoints available.

690 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
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Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

690

Forks

139

Language

Python

License

MIT

Last pushed

Nov 08, 2023

Commits (30d)

0

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