Neural Voice Cloning with a Few Samples
會議：2018 NIPS 機構：百度硅谷ai abstract voice cloning是個性化語音交互想要的性能。主要有兩種方法：1⃣️speaker adaptation：基於多說話者生成模型的finetune；2⃣️speaker encoding:訓練一個單獨的網絡生成new speaker embedding,然後用於多說話者生成模型。就語音的自然度以及和原始語音的相似度而言，即使只
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相關文章
- 1. Few-Shot Learning with Graph Neural Networks
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- 8. Logistic-Regression-with-a-Neural-Network-mindset
- 9. [Few-shot Classification]Review: A Close Look at Few-shot Classification
- 10. 論文閱讀筆記《Few-Shot Learning with Graph Neural Networks》