English(EN) An Empirical Study on Learning Latent Representations for Emotional Speech Synthesis

新的FastSpeech 2系统增强情感语音合成

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-16 04:00

研究人员开发了一个新的情感语音合成（ESS）系统，该系统将说话人嵌入和韵律瓶颈集成到FastSpeech 2模型中。该系统旨在生成具有所需情感表达的逼真、自然的语音。它可以为单个说话人生成情感语音，或在保留目标说话人身份的同时在说话人之间转移说话风格。 AI

排序理由研究论文发布在arXiv上，详细介绍了一种新的情感语音合成模型。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 研究论文发布在arXiv上，详细介绍了一种新的情感语音合成模型。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics: paper, model release; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
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arXiv cs.AI TIER_1 English(EN) · Vinh Dang Quang, Huy Ngo Quang · 2026-06-16 04:00

面向情感语音合成的潜在表征学习的实证研究

arXiv:2606.14922v1 Announce Type: cross Abstract: For the last couple of years, the field of speech synthesis has improved dramatically thanks to deep learning. There are more and more deep learning-based TTS systems developed to make it possible to produce voices with high intel…