End-to-end speech synthesis demo

[r9y9]

End-to-end speech synthesis should be considered in design.

[r9y9]

Seems like my Tacotron implementation started working. Learned alignment and predicted spectrogram at step 69000 attached for the record.

[r9y9]

Still trying various network configurations (attention type, input mask, attention memory mask, zero-padding for embedding, etc). Generated alignment, spectrogram, and wav file by greedy decoding at global step 69000 are attached.

Text: Generative adversarial network or variational auto-encoder.
test.wav.zip

[r9y9]

http://nbviewer.jupyter.org/gist/r9y9/4182248424b39cb7352b93124cbbea98 A few more generated speech samples

[r9y9]

Code: https://github.com/r9y9/tacotron_pytorch.

[r9y9]

I regard this as a doc issue. Added a link to the docs. a6e46a6