Model Link: https://drive.google.com/drive/folders/12Ct0ztVWHpL7SrEbUammGMmDopOKL9X_?usp=sharing

This model is trained with Discrete Grave attention with BatchNorm prenet. It produces good examples with robust attention alignment without any inference time tricks. You can even hear breathing effects with this model in between pauses.

You can also use this TTS model with PWGAN or WaveRNN vocoders. PWGAn provides real-time voice synthesis and WaveRNN is slower but provides better quality.

https://github.com/erogol/ParallelWaveGAN
https://github.com/erogol/WaveRNN

(Ignore the small jiggle on the figures caused by TB)