SINGING VOICE CONVERSION WITH NON-PARALLEL DATA

时间 2021-03-13

标签 paper笔记繁體版

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会议：2019 MIPR 作者：Xin Chen 单位：snap research 文章目录 abstract introduction experiment abstract 利用声学后验概率+DBLSTM基于非平行数据完成SVC。 introduction 可以将user的声音换成目标人的，伪装；也可以将singer的音色换成user的，展示。 experiment CMU Arctic的数据

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1. Odessey2018:Average Modeling Approach to Voice Conversion with Non-Parallel Data
2. ONE-SHOT VOICE CONVERSION USING STAR-GAN
3. 歌声合成（Singing Voice Synthesis）理论
4. 2016 ICME:Phonetic posteriorgrams for many-to-one voice conversion without parallel data training
5. StarGAN-VC： non-parallel many-to-many voice conversion with StaGAN
6. 2019trans--Sequence-to-Sequence Acoustic Modeling for Voice Conversion
7. Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody
8. Many-to-many Cross-lingual Voice Conversion with a Jointly Trained Speaker Embedding Network
9. 2019icas--Cross-lingual Voice Conversion with Bilingual Phonetic PosteriorGram and Average Modeling
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1. Odessey2018:Average Modeling Approach to Voice Conversion with Non-Parallel Data
2. ONE-SHOT VOICE CONVERSION USING STAR-GAN
3. 歌声合成（Singing Voice Synthesis）理论
4. 2016 ICME:Phonetic posteriorgrams for many-to-one voice conversion without parallel data training
5. StarGAN-VC： non-parallel many-to-many voice conversion with StaGAN
6. 2019trans--Sequence-to-Sequence Acoustic Modeling for Voice Conversion
7. Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody
8. Many-to-many Cross-lingual Voice Conversion with a Jointly Trained Speaker Embedding Network
9. 2019icas--Cross-lingual Voice Conversion with Bilingual Phonetic PosteriorGram and Average Modeling
10. Data type conversion in MongoDB

>>更多相关文章<<