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@@ -4,9 +4,15 @@ license: cc0-1.0
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  # بسم الله
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- 1) Converted universal v1 hifigan model from [here](https://github.com/jik876/hifi-gan) and [here](https://drive.google.com/drive/folders/1-eEYTB5Av9jNql0WGBlRoi-WH2J7bp5Y)
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  2) Converted to onnx using [this](https://github.com/k2-fsa/icefall/blob/master/egs/ljspeech/TTS/matcha/export_onnx_hifigan.py)
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  3) Added metadata as such using the above python script:
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- {'model_type': 'hifigan', 'model_filename': 'hifigan_universal_22050hz_v1', 'sample_rate': 22050, 'version': 1, 'model_author': 'jik876', 'maintainer': 'k2-fsa', 'dataset': 'Universal', 'url1': 'https://github.com/jik876/hifi-gan', 'url2': ''}
 
 
 
 
 
 
 
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  # بسم الله
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+ 1) Converted universal v1, v2, v3 22050Hz hifigan models from [here](https://github.com/jik876/hifi-gan) and [here](https://drive.google.com/drive/folders/1-eEYTB5Av9jNql0WGBlRoi-WH2J7bp5Y)
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  2) Converted to onnx using [this](https://github.com/k2-fsa/icefall/blob/master/egs/ljspeech/TTS/matcha/export_onnx_hifigan.py)
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  3) Added metadata as such using the above python script:
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+ {'model_type': 'hifigan', 'model_filename': 'hifigan_universal_22050hz_v1', 'sample_rate': 22050, 'version': 1, 'model_author': 'jik876', 'maintainer': 'k2-fsa', 'dataset': 'Universal', 'url1': 'https://github.com/jik876/hifi-gan', 'url2': ''}
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+ Note1: hifigan v2 is much smaller, faster and with lower memory need
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+ Note2: As LJ speech is a female single speaker dataset, hifigan based on it does not work well on men's voice. vctk models work well for both genders.
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+ Conclusion: Use vctk_v2!