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Running
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T4
File size: 820 Bytes
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import torch
from InferenceInterfaces.UtteranceCloner import UtteranceCloner
if __name__ == '__main__':
uc = UtteranceCloner(model_id="Nancy", device="cuda" if torch.cuda.is_available() else "cpu")
# What is said in path_to_reference_audio_for_intonation has to match the text in the reference_transcription exactly!
uc.clone_utterance(path_to_reference_audio_for_intonation="audios/speaker_references_for_testing/sad.wav",
path_to_reference_audio_for_voice="audios/speaker_references_for_testing/female_mid_voice.wav", # the two reference audios can be the same, but don't have to be
transcription_of_intonation_reference="This report is due tomorrow.",
filename_of_result="audios/test_cloned.wav",
lang="eng")
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