activity
20182021
most citedPhase-aware music super-resolution using generative adversarial networks

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2021★ 1 cited

KaraTuner: Towards end to end natural pitch correction for singing voice in karaoke

Xiaobin Zhuang, Huiran Yu, Weifeng Zhao +2

An automatic pitch correction system typically includes several stages, such as pitch extraction, deviation estimation, pitch shift processing, and cross-fade smoothing. However, d…

eess.AS2020★ 2 cited

Phase-aware music super-resolution using generative adversarial networks

Shichao Hu, Bin Zhang, Beici Liang +2

Audio super-resolution is a challenging task of recovering the missing high-resolution features from a low-resolution signal. To address this, generative adversarial networks (GAN)…

cs.HC2019

A novel music-based game with motion capture to support cognitive and motor function in the elderly

Kat Agres, Simon Lui, Dorien Herremans

This paper presents a novel game prototype that uses music and motion detection as preventive medicine for the elderly. Given the aging populations around the globe, and the limite…

cs.SD2019

Towards robust audio spoofing detection: a detailed comparison of traditional and learned features

Balamurali BT, Kin Wah Edward Lin, Simon Lui +2

Automatic speaker verification, like every other biometric system, is vulnerable to spoofing attacks. Using only a few minutes of recorded voice of a genuine client of a speaker ve…

cs.SD2018★ 1 cited

Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy

Kin Wah Edward Lin, Balamurali B. T., Enyan Koh +2

Separating a singing voice from its music accompaniment remains an important challenge in the field of music information retrieval. We present a unique neural network approach insp…