StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion

时间 2020-07-25

标签 stargan vc2 rethinking conditional methods based voice conversion 栏目 C&C++ 繁體版

原文原文链接

该论文连接原文地址网络发表于Interspeech 2019函数整体归纳：3d 1.使用了不少损失函数对抗分类（区别人）身份（进一步对目标的映射）循环一致性损失，这些损失都来源于STARGA 以及Cycle-GAN。blog 2.一对多其它不少是一对一该方法是一对多此处对应损失函数分类和身份循环一致性损失 get 3.非平行数据同时论文中代表为什么使用非平行数据，

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1. StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion
2. 2019trans--Sequence-to-Sequence Acoustic Modeling for Voice Conversion
3. ONE-SHOT VOICE CONVERSION USING STAR-GAN
4. SINGING VOICE CONVERSION WITH NON-PARALLEL DATA
5. Whether To Pretrain DNN or Not?: An Empirical Analysis for Voice Conversion
6. Voice Conversion using Convolutional Neural Networks 翻译
7. 2018ins--Wavelet Analysis of Speaker Dependent and Independent Prosody for Voice Conversion
8. 2016 ICME:Phonetic posteriorgrams for many-to-one voice conversion without parallel data training
9. Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition论文翻译
10. StarGAN-VC： non-parallel many-to-many voice conversion with StaGAN
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1. StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion
2. 2019trans--Sequence-to-Sequence Acoustic Modeling for Voice Conversion
3. ONE-SHOT VOICE CONVERSION USING STAR-GAN
4. SINGING VOICE CONVERSION WITH NON-PARALLEL DATA
5. Whether To Pretrain DNN or Not?: An Empirical Analysis for Voice Conversion
6. Voice Conversion using Convolutional Neural Networks 翻译
7. 2018ins--Wavelet Analysis of Speaker Dependent and Independent Prosody for Voice Conversion
8. 2016 ICME:Phonetic posteriorgrams for many-to-one voice conversion without parallel data training
9. Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition论文翻译
10. StarGAN-VC： non-parallel many-to-many voice conversion with StaGAN

>>更多相关文章<<