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| `2006.04558v8.pdf` | 非自回归TTS模型 | 用于理解以FastSpeech为代表的非自回归模型如何解决“一对多”问题，以及如何引入韵律等变化信息来提升合成质量与速度。 | *FASTSPEECH 2: FAST AND HIGH-QUALITY END-TO-END TEXT TO SPEECH* | 已归档 | [原文链接](https://paperswithcode.com/paper/fastspeech-2-fast-and-high-quality-end-to-end) |
| `2205.04421v2.pdf` | SOTA TTS模型 | 了解如何通过设计更强大的模型（如NaturalSpeech）和利用大规模语料库来实现与人类相媲美的合成效果，这能帮助理解当前技术的天花板在哪里。| *NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality* | 已归档 | [原文链接](https://arxiv.org/abs/2205.04421) |
| `1806.04558v4.pdf` | 零样本/迁移学习TTS | 此论文讲述利用迁移学习技术，构建一个能够生成任意说话人（包括训练中未见过的说话人）声音的文本到语音（TTS）系统。 | *Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis* | 已归档 | [原文链接](https://paperswithcode.com/paper/transfer-learning-from-speaker-verification) |
| `pone.0283440.pdf` | 实时语音克隆 | 此综述旨在提升语音克隆质量的实时系统。 | *Real-time zero-shot voice cloning with deep neural networks* | 已归档 | [原文链接](https://pmc.ncbi.nlm.nih.gov/articles/PMC10069766/) |
| `pone.0283440.pdf` | 实时语音克隆 | 此综述旨在提升语音克隆质量的实时系统。 | *A real-time voice cloning system with multiple algorithms for speech quality improvement* | 已归档 | [原文链接](https://pmc.ncbi.nlm.nih.gov/articles/PMC10069766/) |
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