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32 lines
985 B
Python
32 lines
985 B
Python
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from vocoder.models.fatchord_version import WaveRNN
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from vocoder.audio import *
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def gen_testset(model: WaveRNN, test_set, samples, batched, target, overlap, save_path):
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k = model.get_step() // 1000
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for i, (m, x) in enumerate(test_set, 1):
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if i > samples:
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break
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print('\n| Generating: %i/%i' % (i, samples))
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x = x[0].numpy()
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bits = 16 if hp.voc_mode == 'MOL' else hp.bits
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if hp.mu_law and hp.voc_mode != 'MOL' :
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x = decode_mu_law(x, 2**bits, from_labels=True)
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else :
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x = label_2_float(x, bits)
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save_wav(x, save_path.joinpath("%dk_steps_%d_target.wav" % (k, i)))
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batch_str = "gen_batched_target%d_overlap%d" % (target, overlap) if batched else \
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"gen_not_batched"
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save_str = save_path.joinpath("%dk_steps_%d_%s.wav" % (k, i, batch_str))
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wav = model.generate(m, batched, target, overlap, hp.mu_law)
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save_wav(wav, save_str)
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