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MOS Results

Eren Gölge edited this page Mar 5, 2021 · 2 revisions

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)

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