One-shot VC by Separating Speaker and Content Representations with Instance Normalization
會議：2019 interspeech 單位：國立臺灣大學 作者：Ju-chieh Chou, Hung-yi Lee abstract motivation: one-shot vc，src&tar speaker都可以是訓練集unseen的，一句話轉換 idea: disentangling speaker and content representations with instance n
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相關文章
- 1. One-shot VC by Separating Speaker and Content Representations with Instance Normalization閱讀
- 2. Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
- 3. 【論文閱讀】Author2Vec: Learning Author Representations by Combining Content and Link Information
- 4. Feature Scaling: Normalization and Standardization
- 5. MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features閱讀筆記
- 6. DIM（Learning deep representations by mutual information estimation and maximization）
- 7. Instance Segmentation with Mask R-CNN and TensorFlow
- 8. 論文Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
- 9. Word Normalization and Stemming
- 10. SAT (Separating Axis Theorem)