SVSNet: An End-to-end Speaker Voice Similarity Assessment Model

• Published in: arXiv.org
• Main Authors: Cheng-Hung, Hu, Yu-Huai Peng, Yamagishi, Junichi, Tsao, Yu, Wang, Hsin-Min
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 17.02.2022
• Subjects: Coders; Computer Science - Learning; Computer Science - Sound; Evaluation; Neural networks; Similarity; Speech recognition; Waveforms

Neural evaluation metrics derived for numerous speech generation tasks have recently attracted great attention. In this paper, we propose SVSNet, the first end-to-end neural network model to assess the speaker voice similarity between converted speech and natural speech for voice conversion tasks. U...