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arXiv · 2507.07799

SecureSpeech: Prompt-based Speaker and Content Protection

Belinda Soh Hui Hui·Xiaoxiao Miao·Xin Wang
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Abstract

Given the increasing privacy concerns from identity theft and the re-identification of speakers through content in the speech field, this paper proposes a prompt-based speech generation pipeline that ensures dual anonymization of both speaker identity and spoken content. This is addressed through 1) generating a speaker identity unlinkable to the source speaker, controlled by descriptors, and 2) replacing sensitive content within the original text using a name entity recognition model and a large language model. The pipeline utilizes the anonymized speaker identity and text to generate high-fidelity, privacy-friendly speech via a text-to-speech synthesis model. Experimental results demonstrate an achievement of significant privacy protection while maintaining a decent level of content retention and audio quality. This paper also investigates the impact of varying speaker descriptions on the utility and privacy of generated speech to determine potential biases.

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Belinda Soh Hui Hui, Xiaoxiao Miao, Xin Wang. 2025-07-10. SecureSpeech: Prompt-based Speaker and Content Protection. https://arxiv.org/abs/2507.07799

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