28 citations · 74 across the 16 of their papers we have counts for
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eess.AS2023★ 3 cited
Preference-based training framework for automatic speech quality assessment using deep neural network
Cheng-Hung Hu, Yusuke Yasuda, Tomoki Toda
One objective of Speech Quality Assessment (SQA) is to estimate the ranks of synthetic speech systems. However, recent SQA models are typically trained using low-precision direct s…
cs.SD2023★ 4 cited
The Singing Voice Conversion Challenge 2023
Wen-Chin Huang, Lester Phillip Violeta, Songxiang Liu +2
We present the latest iteration of the voice conversion challenge (VCC) series, a bi-annual scientific event aiming to compare and understand different voice conversion (VC) system…