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English(EN) X-VC: Zero-shot Streaming Voice Conversion in Codec Space

X-VC系统实现了编解码器空间中的零样本流式语音转换

研究人员开发了X-VC,一种在神经编解码器潜在空间中运行的新型零样本语音转换系统。该方法可同时实现高保真说话人迁移和低延迟流式推理,解决了交互式语音转换中的一个关键挑战。X-VC采用双条件声码转换器和分块推理方案,在同语言和跨语言场景下的流式准确性和说话人相似性方面均表现出卓越性能。 AI

影响 这项研究推进了实时语音转换的能力,有望改进交互式AI应用和辅助工具。

排序理由 该集群包含一篇详细介绍新模型和方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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X-VC系统实现了编解码器空间中的零样本流式语音转换

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该集群包含一篇详细介绍新模型和方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Qixi Zheng, Yuxiang Zhao, Tianrui Wang, Wenxi Chen, Kele Xu, Yikang Li, Qinyuan Cheng, Xipeng Qiu, Kai Yu, Xie Chen ·

    X-VC:编解码器空间中的零样本流式语音转换

    arXiv:2604.12456v3 Announce Type: replace-cross Abstract: Zero-shot voice conversion (VC) aims to convert a source utterance into the voice of an unseen target speaker while preserving its linguistic content. Although recent systems have improved conversion quality, building zero…