ุจุณู… ุงู„ู„ู‡

  1. Converted universal v1, v2, v3 22050Hz hifigan models from here and here

  2. Converted to onnx using this

  3. Added metadata as such using the above python script: {'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': ''}

Note1: hifigan v2 is much smaller, faster and with lower memory need

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.

Conclusion: Use vctk_v2!

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