Heejo You

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icon company AI speech synthesis research engineer in Robotics Intelligence SW Team, Hyundai Motor Group icon location Cheoldobangmulgwan-ro, Uiwang-si, Gyeonggi-do, Republic of Korea icon location Main focus: Psycholinguistics / Mechine learning / Deep learning

Results 4 comments of Heejo You

confusion with speaker encoder and loss func

@arunasank As I understand L_recon is `after postnet mel` and L_recon0 is `pre postnet mel`. Tacotron 2 used the similar postnet structure and loss.

confusion with speaker encoder and loss func

@Trebolium The Tacotron2 paper does not specifically mention the purpose of Postnet. My personal guess is that it increases the detail of the mel. Postnet is a residual structure(_postnet =...

confusion with speaker encoder and loss func

@ruclion Interesting. Now I don't know the clear reason. I think it would be better to ask the author of the paper (the owner of this repository).... :) And, please...

pre trained model

Hi, the shape difference of inference mels are because of the dropout in prenet. I think you try to generate the mels one more time, the shape may be different...