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import re |
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import torch |
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import commons |
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import utils |
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from models import SynthesizerTrn |
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from text.symbols import symbols |
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from text import text_to_sequence |
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def get_text(text, hps): |
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text_norm = text_to_sequence(text, hps.data.text_cleaners) |
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if hps.data.add_blank: |
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text_norm = commons.intersperse(text_norm, 0) |
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text_norm = torch.LongTensor(text_norm) |
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return text_norm |
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hps = utils.get_hparams_from_file(f"pretrained_model/arona_ms_istft_vits_config.json") |
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net_g = SynthesizerTrn( |
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len(symbols), |
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hps.data.filter_length // 2 + 1, |
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hps.train.segment_size // hps.data.hop_length, |
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n_speakers=hps.data.n_speakers, |
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**hps.model).cuda() |
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_ = net_g.eval() |
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_ = utils.load_checkpoint(f"pretrained_model/arona_ms_istft_vits.pth", net_g, None) |
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text = '物語は嘘から始まる。' |
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SPEECH_SPEED = 1 |
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stn_tst = get_text(text, hps) |
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with torch.no_grad(): |
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x_tst = stn_tst.cuda().unsqueeze(0) |
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x_tst_lengths = torch.LongTensor([stn_tst.size(0)]).cuda() |
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audio = net_g.infer(x_tst, x_tst_lengths, noise_scale=.667, noise_scale_w=0.8, length_scale=1/SPEECH_SPEED)[0][0,0].data.cpu().float().numpy() |
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