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All Projects → ishandutta2007 → Text-to-Speech-Landscape

ishandutta2007 / Text-to-Speech-Landscape

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nlpdeep-learningttsstyle-transferprosodytacotronvoice-cloningstyle-tokenstacotron-2

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Text to Speech(TTS)/Style Transfer/Voice Cloning Landscape

Reddit Posts:

Samples from github:

Samples Pretrained Models Code Paper Output Quality
Baidu's Deep Voice samples(official) -- -- -- D
Baidu's Deep Voice 3 samples(official) -- -- 1710.07654 B
Google Tacotron2 samples(official) -- -- 1712.05884 A
Google tacotron + style transfer sample(official) -- -- 1803.09047 A
NVIDIA's waveglow Download Model Code 1811.00002 A
NVIDIA's tacotron2 + waveglow Download Model Code -- A
Griffin-Lim -- -- -- A
Deepmind Neural Discrete Representation Learning samples(official) -- -- 1711.00937 B
r9y9's wavenet vocoder Tacotron2(189k iterations) (Download Tacotron2 model) - (Download wavenet model(1000k iterations)) - (Get models) -- 1712.05884 and 1611.09482 B
dhgrs's implementation of Neural Discrete Representation Learning samples Download Model Code 1711.00937 D
mazzzystar's Tacotron-WaveRNN samples(730k iterations) Get Model Code -- A
syang1993's tacotron + style transfer samples(200k iterations) Model ErnstTmp(232k iter) -- 1803.09047 and 1803.09017 C
keithito's tacotron samples(414k iterations) Get model -- -- D
rayhane's Tacotron2 samples(6k4 steps(whatever that means)) -- -- -- D
Kyubyong's tacotron on LJ dataset(200k iterations) Download model -- -- D
Kyubyong's tacotron on nick dataset(215k iterations) -- -- -- D
Kyubyong's tacotron on web dataset(183k iterations) Download model -- -- D
Kyubyong's expressive tacotron(420k iterations) -- Code 1803.09047 D
Kyubyong's dc-tts on LJ dataset(800k iterations) Get model -- -- D
Kyubyong's dc-tts on nick dataset(800k iterations) -- -- -- D
Kyubyong's dc-tts kate(800k iterations) -- -- -- D
andabi's deep voice conversion -- -- -- D
Facebook Loop samples(official) Get model -- -- D
mazzzystar's randomCNN voice transfer -- -- 1712.08363 D

Work in progress:

If I missed your output sample/demo in this consolidation, just add and send a pull request. I will be more than happy to add it. Thanks!

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Product Demos:

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