forked from mrq/tortoise-tts
Allow passing additional voice directories when loading voices
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20220893af
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e34ffca8fb
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@ -82,21 +82,23 @@ def dynamic_range_decompression(x, C=1):
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return torch.exp(x) / C
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def get_voices():
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subs = os.listdir('tortoise/voices')
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def get_voices(extra_voice_dirs=[]):
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dirs = ['tortoise/voices'] + extra_voice_dirs
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voices = {}
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for sub in subs:
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subj = os.path.join('tortoise/voices', sub)
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if os.path.isdir(subj):
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voices[sub] = list(glob(f'{subj}/*.wav')) + list(glob(f'{subj}/*.mp3')) + list(glob(f'{subj}/*.pth'))
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for d in dirs:
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subs = os.listdir(d)
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for sub in subs:
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subj = os.path.join(d, sub)
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if os.path.isdir(subj):
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voices[sub] = list(glob(f'{subj}/*.wav')) + list(glob(f'{subj}/*.mp3')) + list(glob(f'{subj}/*.pth'))
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return voices
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def load_voice(voice):
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def load_voice(voice, extra_voice_dirs=[]):
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if voice == 'random':
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return None, None
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voices = get_voices()
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voices = get_voices(extra_voice_dirs)
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paths = voices[voice]
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if len(paths) == 1 and paths[0].endswith('.pth'):
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return None, torch.load(paths[0])
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@ -108,14 +110,14 @@ def load_voice(voice):
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return conds, None
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def load_voices(voices):
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def load_voices(voices, extra_voice_dirs=[]):
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latents = []
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clips = []
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for voice in voices:
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if voice == 'random':
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print("Cannot combine a random voice with a non-random voice. Just using a random voice.")
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return None, None
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clip, latent = load_voice(voice)
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clip, latent = load_voice(voice, extra_voice_dirs)
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if latent is None:
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assert len(latents) == 0, "Can only combine raw audio voices or latent voices, not both. Do it yourself if you want this."
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clips.extend(clip)
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