dc_tts and dctts-pytorch
These are ecosystem siblings—parallel implementations of the same DC-TTS architecture in different deep learning frameworks (TensorFlow vs PyTorch), allowing users to choose based on their preferred framework rather than offering complementary functionality.
About dc_tts
Kyubyong/dc_tts
A TensorFlow Implementation of DC-TTS: yet another text-to-speech model
Implements the DC-TTS architecture with a two-stage pipeline: Text2Mel generates mel-spectrograms from text using guided attention for monotonic alignment, while SSRN (speaker-dependent vocoder) converts spectrograms to waveforms. Supports multilingual training across English and Korean datasets, with practical modifications including layer normalization and learning rate decay to improve convergence over the original paper's approach.
About dctts-pytorch
chaiyujin/dctts-pytorch
The pytorch implementation of DC-TTS
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