1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SD2023
BigWavGAN: A Wave-To-Wave Generative Adversarial Network for Music Super-Resolution
Yenan Zhang, Hiroshi Watanabe
Generally, Deep Neural Networks (DNNs) are expected to have high performance when their model size is large. However, large models failed to produce high-quality results commensura…
cs.SD2023★ 1 cited
Phase Repair for Time-Domain Convolutional Neural Networks in Music Super-Resolution
Yenan Zhang, Guilly Kolkman, Hiroshi Watanabe
Audio Super-Resolution (SR) is an important topic as low-resolution recordings are ubiquitous in daily life. In this paper, we focus on the music SR task, which is challenging due…