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--- |
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language: |
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- fr |
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pipeline_tag: text-to-speech |
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--- |
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This model was trained using part of SIWIS dataset and CSS10 dataset, only in french with two voices (F and M), |
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It was trained for finetuning task in language similar than french. The generator and discriminator are included on the model so finetuning is available. |
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SIWIS dataset: https://datashare.ed.ac.uk/handle/10283/2353 |
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CSS10 dataset : https://github.com/Kyubyong/css10 |
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The first 3 parts of the SIWIS dataset, corresponding to the previously segmented female voice, |
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have been taken from the first dataset. The second dataset has been fully used and corresponds to the male voice. |
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In both cases the sampling frequency (22050) and the wav format encoding (pmc 16) have been adjusted. |
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In addition, the transcriptions have been adapted by adjusting the format with the ljspeech dataset. |
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The alphabet used is: |
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!"&'()+,-./0123456789:;?ABCDEFGHIJKLMNOPQRSTUVWXYZ_abcdefghijklmnopqrstuvwxyz| «°»ÀÂÇÈÉÊÎÏÔÙÛàâæçèéêëîïôöùúûüœ–’“”… |
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