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GitHub / keonlee9420 / Comprehensive-Tacotron2

PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/keonlee9420%2FComprehensive-Tacotron2

Stars: 31
Forks: 8
Open Issues: 5

License: mit
Language: Python
Repo Size: 130 MB
Dependencies: 0

Created: almost 3 years ago
Updated: over 1 year ago
Last pushed: over 2 years ago
Last synced: over 1 year ago

Topics: autoregressive, comprehensive, deep-learning, diagonal-guided-attention, efficiency, hifi-gan, mel-gan, multi-speaker, neural-tts, pytorch, reduction-factor, robustness, single-speaker, speech-synthesis, tacotron, tacotron2, text-to-speech, tts

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