Fix typos
Found via `codespell -S *.json -L splitted,nd,ser,broadcat`
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@ -120,7 +120,7 @@ For the those in the ML space: this is created by projecting a random vector ont
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This repo comes with several pre-packaged voices. Voices prepended with "train_" came from the training set and perform
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This repo comes with several pre-packaged voices. Voices prepended with "train_" came from the training set and perform
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far better than the others. If your goal is high quality speech, I recommend you pick one of them. If you want to see
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far better than the others. If your goal is high quality speech, I recommend you pick one of them. If you want to see
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what Tortoise can do for zero-shot mimicing, take a look at the others.
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what Tortoise can do for zero-shot mimicking, take a look at the others.
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### Adding a new voice
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### Adding a new voice
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@ -110,7 +110,7 @@ tuning_group.add_argument(
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tuning_group.add_argument(
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tuning_group.add_argument(
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'--cvvp-amount', type=float, default=None,
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'--cvvp-amount', type=float, default=None,
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help='How much the CVVP model should influence the output.'
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help='How much the CVVP model should influence the output.'
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'Increasing this can in some cases reduce the likelyhood of multiple speakers.')
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'Increasing this can in some cases reduce the likelihood of multiple speakers.')
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tuning_group.add_argument(
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tuning_group.add_argument(
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'--diffusion-iterations', type=int, default=None,
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'--diffusion-iterations', type=int, default=None,
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help='Number of diffusion steps to perform. More steps means the network has more chances to iteratively'
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help='Number of diffusion steps to perform. More steps means the network has more chances to iteratively'
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@ -20,7 +20,7 @@ if __name__ == '__main__':
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parser.add_argument('--seed', type=int, help='Random seed which can be used to reproduce results.', default=None)
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parser.add_argument('--seed', type=int, help='Random seed which can be used to reproduce results.', default=None)
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parser.add_argument('--produce_debug_state', type=bool, help='Whether or not to produce debug_state.pth, which can aid in reproducing problems. Defaults to true.', default=True)
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parser.add_argument('--produce_debug_state', type=bool, help='Whether or not to produce debug_state.pth, which can aid in reproducing problems. Defaults to true.', default=True)
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parser.add_argument('--cvvp_amount', type=float, help='How much the CVVP model should influence the output.'
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parser.add_argument('--cvvp_amount', type=float, help='How much the CVVP model should influence the output.'
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'Increasing this can in some cases reduce the likelyhood of multiple speakers. Defaults to 0 (disabled)', default=.0)
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'Increasing this can in some cases reduce the likelihood of multiple speakers. Defaults to 0 (disabled)', default=.0)
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args = parser.parse_args()
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args = parser.parse_args()
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os.makedirs(args.output_path, exist_ok=True)
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os.makedirs(args.output_path, exist_ok=True)
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@ -43,7 +43,7 @@ def normalization(channels):
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class QKVAttentionLegacy(nn.Module):
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class QKVAttentionLegacy(nn.Module):
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"""
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"""
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A module which performs QKV attention. Matches legacy QKVAttention + input/ouput heads shaping
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A module which performs QKV attention. Matches legacy QKVAttention + input/output heads shaping
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"""
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"""
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def __init__(self, n_heads):
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def __init__(self, n_heads):
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