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One-shot VC by Separating Speaker and Content Representations with Instance Normalization閱讀
時間 2020-12-26
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會議:2019 interspeech 單位:國立臺灣大學 作者:Ju-chieh Chou, Hung-yi Lee 過往有許多關於音色轉換的研究主要集中在並行語料集的基礎上的,已經能夠實現將一種的音色轉換成其多種其他人音色(例如訊飛留聲,百度地圖個性化聲音導航等),而且效果比較不錯。但是這種方案有明顯的缺陷,包括:(1)訓練數據要求較嚴格(並行數據)。(2)只能轉換處於訓練集內的人的音色。基於
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相關文章
1.
One-shot VC by Separating Speaker and Content Representations with Instance Normalization
2.
【論文閱讀】Author2Vec: Learning Author Representations by Combining Content and Link Information
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