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speech-embeddings

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The Dis-Vector project enhances voice conversion and synthesis through disentangled embeddings, allowing for high-quality, zero-shot voice cloning across multiple languages. This model leverages separate encoders for content, pitch, rhythm, and timbre, enabling precise control over synthesized voice characteristics.

  • Updated Sep 20, 2024
  • Python

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