qin
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  • Joined on 2024-08-11
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qin pushed to main at qin/Paper_Read 2025-06-27 03:50:40 +08:00
813ffc2aff README
qin pushed to main at qin/Paper_Read 2025-06-27 01:06:45 +08:00
848c447125 README
qin pushed to main at qin/Paper_Read 2025-06-27 01:00:34 +08:00
37c558dc4d 国内外研究所需参考文献
qin pushed to main at qin/Paper_Read 2025-06-24 12:35:07 +08:00
f2ccea181a README
qin pushed to main at qin/Paper_Read 2025-06-24 12:32:46 +08:00
bcd77c7f6c README
qin pushed to main at qin/Paper_Read 2025-06-24 12:10:40 +08:00
4c77a40883 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。
qin pushed to main at qin/Paper_Read 2025-06-24 12:04:47 +08:00
70d783c14b Merge branch 'main' of https://git.sq0715.com/qin/Paper_Read
6fd8921673 此综述旨在提升语音克隆质量的实时系统
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qin pushed to main at qin/Paper_Read 2025-06-23 22:29:24 +08:00
fcca1c7ced 删除 20220831054604906.pdf
qin pushed to main at qin/Paper_Read 2025-06-23 22:28:55 +08:00
3c4fb9ae27 README
bd91c876b1 此论文用以理解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。
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qin pushed to main at qin/Paper_Read 2025-06-23 22:23:55 +08:00
cd26a56569 删除 20220831054604906.pdf
qin pushed to main at qin/Paper_Read 2025-06-23 22:12:38 +08:00
1e58e04c8c README
qin pushed to main at qin/Paper_Read 2025-06-23 22:07:29 +08:00
a531dd77d9 了解如何通过设计更强大的模型和利用大规模语料库来实现与人类相媲美的合成效果，这能帮助你理解当前技术的天花板在哪里。
qin pushed to main at qin/Paper_Read 2025-06-23 22:06:48 +08:00
6f83cb9689 此论文用于理解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
qin pushed to main at qin/Paper_Read 2025-06-23 22:05:42 +08:00
226ac87f66 此综述覆盖了深度学习TTS架构和未来研究方向
qin pushed to main at qin/Paper_Read 2025-06-23 22:04:47 +08:00
a9416d44fd 此论文系统回顾了情感语音合成的方法、挑战和资源
qin pushed to main at qin/Paper_Read 2025-06-23 22:03:40 +08:00
a75de22678 此综述详细介绍了基于神经网络的TTS技术
qin created branch main in qin/Paper_Read 2025-06-23 22:03:40 +08:00
qin created repository qin/Paper_Read 2025-06-23 22:02:19 +08:00
qin pushed to main at qin/CHM_attendance 2025-06-12 10:41:16 +08:00
fd27daa012 delete_pending
qin pushed to main at qin/CHM_attendance 2025-06-12 00:42:45 +08:00
b7b8b0f50f SmartDSP