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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") | |