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bark-with-voice-clone/bark/__pycache__/api.cpython-38.pyc

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2023-04-09 13:21:02 -04:00
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<00>p0d<30><00>@s|ddlmZddlZddlmZmZmZmZde ee e
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d <0C>d d<0E>ZdS)<12>)<01>OptionalN<6C>)<04> codec_decode<64>generate_coarse<73> generate_fine<6E>generate_text_semantic<69>ffffff<66>?)<03>text<78>history_prompt<70>tempcCst|||d<01>}|S)a6Generate semantic array from text.
Args:
text: text to be turned into audio
history_prompt: history choice for audio cloning
temp: generation temperature (1.0 more diverse, 0.0 more conservative)
Returns:
numpy semantic array to be fed into `semantic_to_waveform`
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x_semantic<EFBFBD>r<00>"/Users/georg/code/bark/bark/api.py<70>text_to_semantics <02>r)<03>semantic_tokensr
r cCs(t|||d<01>}t||dd<01>}t|<04>}|S)aJGenerate audio array from semantic input.
Args:
semantic_tokens: semantic token output from `text_to_semantic`
history_prompt: history choice for audio cloning
temp: generation temperature (1.0 more diverse, 0.0 more conservative)
Returns:
numpy audio array at sample frequency 24khz
r g<00>?)rrr)rr
r Z x_coarse_genZ
x_fine_gen<EFBFBD> audio_arrrrr<00>semantic_to_waveforms<02><02>r)r r
<00> text_temp<6D> waveform_tempcCs t|||d<01>}t|||d<01>}|S)a<>Generate audio array from input text.
Args:
text: text to be turned into audio
history_prompt: history choice for audio cloning
text_temp: generation temperature (1.0 more diverse, 0.0 more conservative)
waveform_temp: generation temperature (1.0 more diverse, 0.0 more conservative)
Returns:
numpy audio array at sample frequency 24khz
r )rr)r r
rrr rrrr<00>generate_audio<sr)Nr)Nr)Nrr)<0F>typingr<00>numpy<70>np<6E>
generationrrrr<00>str<74>floatr<00>ndarrayrrrrrr<00><module>s2 <00><02> <00><02> <00><02>