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rafaelvalle avatar rafaelvalle commented on May 24, 2024

You need to make sure z_1 and z_2 produce samples from different speakers.
Sample z_1 once, perform inference and memorize the speaker's voice.
Keep sampling z_2, performing inference and listening to the samples produced with z_2 until the speaker you hear is different from the speaker produced with z_1.
You can interpolate once you have z_1 and z_2 values associated with different speakers.
It is safer to let gate_threshold = 1 and prune the audio later.

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DamienToomey avatar DamienToomey commented on May 24, 2024

I have also model_config['dummy_speaker_embedding'] = True

I keep sampling z_2, performing inference and listening to the samples produced with z_2 but the speaker's voice sounds the same as the voice produced with z_1. By the way, it is always a female voice. Do you have any idea why this might be happening ?

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rafaelvalle avatar rafaelvalle commented on May 24, 2024

Are you using the LibriTTS model?

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DamienToomey avatar DamienToomey commented on May 24, 2024

Yes I am using the LibriTTS model

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rafaelvalle avatar rafaelvalle commented on May 24, 2024

Hey Damien, the pre-trained LibriTTS model available in our repo has speaker embeddings.

You need to train a model without speaker embeddings, i.e. model_config['dummy_speaker_embedding'] = True, to be able to interpolate between speakers through interpolation in the latent space.

You can warm-start from the pre-trained LibriTTS model with speaker embeddings.

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