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English(EN) Phrase-Localized Language-Contrastive Guidance: Training-Free Localized Accent Control for Code-Switching Text-to-Speech

新的LCG框架改进了语码转换文本到语音合成

研究人员开发了一个新的无需训练的框架,称为短语本地化语言对比指导(LCG),以改进语码转换文本到语音合成。该方法解决了在一个话语中,外语短语使用主要语言口音发音的问题。LCG将语言特定的指导应用于每个短语,确保其保留其本地口音,并使用自注意力探测技术来识别短语边界,而无需外部对齐。 AI

影响 增强了多语言语音合成的自然性和准确性,可能改善了全球应用程序的可访问性和用户体验。

排序理由 该集群描述了一篇详细介绍一种改进文本到语音合成新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的LCG框架改进了语码转换文本到语音合成

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该集群描述了一篇详细介绍一种改进文本到语音合成新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Che Hyun Lee, Sangkwon Park, Donghun Kang, Dongwook Lee, Youngho Cho, Heeseung Kim, Sungroh Yoon ·

    短语-本地化语言-对比引导:无训练的本地化口音控制用于语种转换语音合成

    arXiv:2609.01016v1 Announce Type: new Abstract: Current speech synthesis struggles with code-switching, which mixes a foreign language phrase into a primary language utterance, causing the phrase to be spoken with the primary language's accent rather than its native one. We propo…