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  ### The MelGAN vocoder for StyleSpeech
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  #### About StyleSpeech
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  * StyleSpeech or Meta-StyleSpeech is a model for Multi-Speaker Adaptive Text-to-Speech Generation
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- * The StyleSpeech model can be trained by official implementation [StyleSpeech Github].(https://github.com/KevinMIN95/StyleSpeech)
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  #### About MelGAN vocoder
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  * This MelGAN vocoder is used to transform the mel-spectrogram back to the waveform.
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  * StyleSpeech is based on 16k Hz sampling rate, and there is no available 16k Hz multi-speaker vocoder.
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- * Thus I train this vocoder from scratch using Libri-TTS train-100 hour dataset. The training pipeline is the same as the official MelGAN [MelGAN Github](https://github.com/descriptinc/melgan-neurips).
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  * The synthesized sounds are close to the official demo with good quality.
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  #### Training Details
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  * GPU: RTX 2080Ti
 
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  ### The MelGAN vocoder for StyleSpeech
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  #### About StyleSpeech
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  * StyleSpeech or Meta-StyleSpeech is a model for Multi-Speaker Adaptive Text-to-Speech Generation
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+ * The StyleSpeech model can be trained by official implementation (https://github.com/KevinMIN95/StyleSpeech).
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  #### About MelGAN vocoder
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  * This MelGAN vocoder is used to transform the mel-spectrogram back to the waveform.
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  * StyleSpeech is based on 16k Hz sampling rate, and there is no available 16k Hz multi-speaker vocoder.
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+ * Thus I train this vocoder from scratch using Libri-TTS train-100 hour dataset. The training pipeline is the same as the official MelGAN (https://github.com/descriptinc/melgan-neurips).
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  * The synthesized sounds are close to the official demo with good quality.
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  #### Training Details
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  * GPU: RTX 2080Ti