'Voice Conversion' paper candidate 2501.01674

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Please check whether this paper is about 'Voice Conversion' or not.

article info.

• title: Controlling your Attributes in Voice

• summary: Attribute control in generative tasks aims to modify personal attributes,
  such as age and gender while preserving the identity information in the source
  sample. Although significant progress has been made in controlling facial
  attributes in image generation, similar approaches for speech generation remain
  largely unexplored. This letter proposes a novel method for controlling speaker
  attributes in speech without parallel data. Our approach consists of two main
  components: a GAN-based speaker representation variational autoencoder that
  extracts speaker identity and attributes from speaker vector, and a two-stage
  voice conversion model that captures the natural expression of speaker
  attributes in speech. Experimental results show that our proposed method not
  only achieves attribute control at the speaker representation level but also
  enables manipulation of the speaker age and gender at the speech level while
  preserving speech quality and speaker identity.

• id: http://arxiv.org/abs/2501.01674v1

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