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Created MOS Results (markdown)

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Eren Gölge 2021-03-05 18:16:49 +01:00
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Based on our latest MOS study, TTS is able to achieve on par performance with any other solution. However, it is also shown that the quality of the dataset is an important part of TTS. Therefore, it is worth to find a good resource or even record your own dataset, if you like to peak the TTS performance.
### Models
* Judy Wave1: Tacotron + WaveRNN
* Judy Wave2: Tacotron2 + WaveRNN
* Judy GL1 : Tacotron + Griffin Lim
* Judy GL2 : Tacotron2 + Griffin Lim
* TTS Nancy: Tacotron + Griffin Lim
* TTS Nancy2: Tacotron2 + WaveRNN
* TTS LJSpeech: Tacotron + GriffinLim
(Judy is an 25 hours long internal dataset)
(.Jofish .Abe and .Janice are real human voices)
![](https://github.com/coqui-ai/TTS/blob/master/images/TTS-performance.png)