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MS-Tacotron2

Tacotron2 based multi-speaker text to speech

Reference

Model

Three places adding speaker embedding layers

  • text encoder GRU initial state
  • add speaker code after text encoder RNN

Data preparation

data:dictionaries for different language
dataset:where put training data and test data

Train step

python -m multiproc.py train.py -o outdir15/ -l logdir -c ./outdir5/tacotron2_statedict.pt --warm_start

Experiments

E1 (Jan-19)

location: 115 outdir14 data:

  • mix indirect and direct speech with one speaker code + 39 female speaker from cusent
  • storytelling sentences share the same speaker id

E2 (Jan-24)

location: 114 outdir15 data:

  • mix indirect and direct speech with one speaker code + 39 female speaker from cusent
  • indirect speech: spk id 69 direct speech: spk id 70

Install

  • apex segmentation error: conda install -c psi4 gcc-5

TO DO LIST

  • tweak input format : replace with pandas dataframe instead of filelists

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Tacotron2 based multi-speaker text to speech

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