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English(EN) Adaptive Oscillatory Inductive Bias for Modeling Sharp Prosodic Dynamics in Diffusion-Based TTS

新的TTS系统OscillaTTS改进了语音表达建模

研究人员开发了OscillaTTS,这是一种新颖的基于扩散的文本到语音(TTS)系统,旨在更好地模拟富有表现力的语音中的尖锐韵律过渡和快速音高变化。与使用Snake激活函数等静态非线性的先前模型不同,OscillaTTS结合了具有线性旁路的自适应振荡非线性。这允许可控的周期性调制,同时确保信号稳定性。在LJSpeech和Emotional Speech Dataset上的实验表明,在客观和主观评估中都有显著改进,特别是在捕捉富有表现力的韵律动力学方面。 AI

影响 这项研究可能带来更自然、更富有表现力的AI生成语音,从而增强虚拟助手和音频内容创作等应用。

排序理由 该集群描述了一篇关于文本到语音合成新模型的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的TTS系统OscillaTTS改进了语音表达建模

报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Sandipan Dhar, Nirmesh J. Shah, Ashishkumar P. Gudmalwar, Pankaj Wasnik ·

    Adaptive Oscillatory Inductive Bias for Modeling Sharp Prosodic Dynamics in Diffusion-Based TTS

    arXiv:2606.25424v1 Announce Type: cross Abstract: Diffusion-based text-to-speech (TTS) models have achieved significant improvements in speech quality. However, modeling sharp prosodic transitions and rapid pitch variations in expressive speech remains challenging. Existing diffu…

  2. arXiv cs.AI TIER_1 English(EN) · Pankaj Wasnik ·

    Adaptive Oscillatory Inductive Bias for Modeling Sharp Prosodic Dynamics in Diffusion-Based TTS

    Diffusion-based text-to-speech (TTS) models have achieved significant improvements in speech quality. However, modeling sharp prosodic transitions and rapid pitch variations in expressive speech remains challenging. Existing diffusion-based TTS decoders commonly utilize periodic …