Pytorch implementation of Deepmind's WaveRNN model
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Updated
Apr 5, 2020 - Jupyter Notebook
Pytorch implementation of Deepmind's WaveRNN model
Image Reader : Getting voice file from Image.
implementation of Nal et al.「Efficient Neural Audio Synthesis」
A PyTorch implementation of "Robust Universal Neural Vocoding"
Phoneme multilingual(Russian-English) voice cloning based on
Linear Prediction Coefficients estimation from mel-spectrogram implemented in Python based on Levinson-Durbin algorithm.
Framework for one-shot multispeaker system based on Deep Learning
Audio generation using WaveRNN and WaveNet
end-to-end voicebot that answers open domain questions.
The (unofficial) vanilla version of WaveRNN
WaveRNN Vocoder + TTS
Catalan Text to Speech
an improved version of Real-time-voice-cloning
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