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Po-Wei Chen

2 accepted papers

2025

Training Better Embedding With Perturbed Data Augmentation for Automatic Singing Quality Assessment

ICASSP 2025accepted

Automatic singing quality assessment is a challenging task due to its subjective nature, as well as limitations stemming from the scarcity of human annotations and the poor generalization to unfamiliar singing expressions. In this paper, we incorporate perturbed augmented data strategies into the tr…

Cited by 0SourceScholar
2023

A Few Shot Learning of Singing Technique Conversion Based on Cycle Consistency Generative Adversarial Networks

ICASSP 2023accepted

We adopt the recent cycle consistent generative adversarial network (MaskCycleGAN-VC) that allows converting a specific singing technique using only a few articulations of singing voice as examples. Since it is often prone to fail to preserve the content information of the singing voice due to disto…

Cited by 0SourceScholar