Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directions

• URL: http://arxiv.org/abs/2310.17502v1
• Date: Thu, 26 Oct 2023 15:54:12 GMT
• Title: Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directions
• Authors: Florian Lux, Pascal Tilli, Sarina Meyer, Ngoc Thang Vu
• Abstract summary: We propose a method to generate artificial speaker embeddings that cannot be linked to a real human. The controllable embeddings can be fed to a speech synthesis system conditioned on embeddings of real humans during training.
• Score: 29.03308434639149
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Customizing voice and speaking style in a speech synthesis system with intuitive and fine-grained controls is challenging, given that little data with appropriate labels is available. Furthermore, editing an existing human's voice also comes with ethical concerns. In this paper, we propose a method to generate artificial speaker embeddings that cannot be linked to a real human while offering intuitive and fine-grained control over the voice and speaking style of the embeddings, without requiring any labels for speaker or style. The artificial and controllable embeddings can be fed to a speech synthesis system, conditioned on embeddings of real humans during training, without sacrificing privacy during inference.

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