"use_speaker_embeddings" and "use_d_vector" options #1210
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MatthewRomanishin
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read this #1058 |
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@vince62s Hi! I ran into a problem while training a Vits model using "d_vector_file". I got an error: "AttributeError: 'WN' object has no attribute 'cond_layer' ". Thanks. |
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if you use the vits recipe you should not face this error that deals with WaveNet when vits does not use WN but Hifigan. |
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I want to train a model with the same parameters as your YourTTS model you use for voice conversion in colab notebook. I looked at the "use_speaker_embeddings" and "use_d_vector" options. Both of these options are True in the config.json file. I calculated the embeddings for my dataset using compute_embeddings.py. I tried to run model training with "use_speaker_embeddings"=true and "use_d_vector"=true, got the error "ValueError: [!] Speaker embedding layer already initialized before d_vector settings.". I have read the discussion .
Do I understand correctly that the model can only be trained with one of the parameters equal to True? How did you train the model with both parameters equal to true? If I set only one parameter to true, how will it affect the result of the inference?
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