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James Betker 2022-03-10 23:21:16 -07:00
parent 56b10cc54c
commit 8effe3554b
1 changed files with 8 additions and 8 deletions
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do_tts.py
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@ -122,14 +122,14 @@ if __name__ == '__main__':
preselected_cond_voices = { preselected_cond_voices = {
# Male voices # Male voices
'dotrice': ['voices/dotrice/1.wav', 'voices/dotrice/2.wav'], 'dotrice': ['voices/dotrice/1.wav', 'voices/dotrice/2.wav'],
'harris': ['voices/male_harris1.wav', 'voices/male_harris2.wav'], 'harris': ['voices/harris/1.wav', 'voices/harris/2.wav'],
'lescault': ['voices/male_lescault1.wav', 'voices/male_lescault2.wav'], 'lescault': ['voices/lescault/1.wav', 'voices/lescault/2.wav'],
'otto': ['voices/male_otto1.wav', 'voices/male_otto2.wav'], 'otto': ['voices/otto/1.wav', 'voices/otto/2.wav'],
# Female voices # Female voices
'atkins': ['voices/female_atkins1.wav', 'voices/female_atkins2.wav'], 'atkins': ['voices/atkins/1.wav', 'voices/atkins/2.wav'],
'grace': ['voices/female_grace1.wav', 'voices/female_grace2.wav'], 'grace': ['voices/grace/1.wav', 'voices/grace/2.wav'],
'kennard': ['voices/female_kennard1.wav', 'voices/female_kennard2.wav'], 'kennard': ['voices/kennard/1.wav', 'voices/kennard/2.wav'],
'mol': ['voices/female_mol1.wav', 'voices/female_mol2.wav'], 'mol': ['voices/mol/1.wav', 'voices/mol/2.wav'],
} }
parser = argparse.ArgumentParser() parser = argparse.ArgumentParser()
@ -197,7 +197,7 @@ if __name__ == '__main__':
print("Loading DVAE..") print("Loading DVAE..")
dvae = DiscreteVAE(positional_dims=1, channels=80, hidden_dim=512, num_resnet_blocks=3, codebook_dim=512, num_tokens=8192, num_layers=2, dvae = DiscreteVAE(positional_dims=1, channels=80, hidden_dim=512, num_resnet_blocks=3, codebook_dim=512, num_tokens=8192, num_layers=2,
record_codes=True, kernel_size=3, use_transposed_convs=False).cuda().eval() record_codes=True, kernel_size=3, use_transposed_convs=False).cuda().eval()
dvae.load_state_dict(torch.load('.models/dvae.pth')) dvae.load_state_dict(torch.load('.models/dvae.pth'), strict=False)
print("Loading Diffusion Model..") print("Loading Diffusion Model..")
diffusion = DiscreteDiffusionVocoder(model_channels=128, dvae_dim=80, channel_mult=[1, 1, 1.5, 2, 3, 4, 6, 8, 8, 8, 8], num_res_blocks=[1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1], diffusion = DiscreteDiffusionVocoder(model_channels=128, dvae_dim=80, channel_mult=[1, 1, 1.5, 2, 3, 4, 6, 8, 8, 8, 8], num_res_blocks=[1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1],
spectrogram_conditioning_resolutions=[2,512], attention_resolutions=[512,1024], num_heads=4, kernel_size=3, scale_factor=2, spectrogram_conditioning_resolutions=[2,512], attention_resolutions=[512,1024], num_heads=4, kernel_size=3, scale_factor=2,