Beici Liang

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 11

Top Topics

Onset Detection

Genre Classification

Transfer Learning

Top Venues

Audio Mostly Conference

Publications

Ke Chen, Beici Liang, Xiaoshuan Ma, Minwei Gu
Learning Audio Embeddings with User Listening Data for Content-Based Music Recommendation. ICASSP (2021)
Shichao Hu, Beici Liang, Zhouxuan Chen, Xiao Lu, Ethan Zhao, Simon Lui
Large-scale singer recognition using deep metric learning: an experimental study. IJCNN (2021)
Beici Liang, György Fazekas, Mark B. Sandler
Transfer Learning for Piano Sustain-Pedal Detection. CoRR (2021)
Shichao Hu, Bin Zhang, Beici Liang, Ethan Zhao, Simon Lui
Phase-Aware Music Super-Resolution Using Generative Adversarial Networks. INTERSPEECH (2020)
Ke Chen, Beici Liang, Xiaoshuan Ma, Minwei Gu
Learning Audio Embeddings with User Listening Data for Content-based Music Recommendation. CoRR (2020)
Beici Liang, Minwei Gu
Music Genre Classification Using Transfer Learning. MIPR (2020)
Beici Liang, György Fazekas, Mark B. Sandler
Transfer Learning for Piano Sustain-Pedal Detection. IJCNN (2019)
Beici Liang, György Fazekas, Mark B. Sandler
Piano Sustain-pedal Detection Using Convolutional Neural Networks. ICASSP (2019)
Beici Liang, György Fazekas, Mark B. Sandler
Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. EUSIPCO (2018)
Beici Liang, György Fazekas, Andrew P. McPherson, Mark B. Sandler
Piano pedaller: a measurement system for classification and visualisation of piano pedalling techniques. NIME (2017)
Beici Liang, György Fazekas, Mark B. Sandler
Recognition of Piano Pedalling Techniques Using Gesture Data. Audio Mostly Conference (2017)