Beici Liang

12 papers A 1B 2Misc 2Journal 2Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	—	`ed.`	Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023. ISMIR Augusto Sarti, Fabio Antonacci, Mark Sandler, Paolo Bestagini, Simon Dixon, Beici Liang, Gaël Richard, Johan Pauwels
2021	B	`conf`	Large-scale singer recognition using deep metric learning: an experimental study. IJCNN Shichao Hu, Beici Liang, Zhouxuan Chen, Xiao Lu, Ethan Zhao, Simon Lui
2021	Misc	`conf`	Learning Audio Embeddings with User Listening Data for Content-Based Music Recommendation. ICASSP Ke Chen, Beici Liang, Xiaoshuan Ma, Minwei Gu
2021	J	`jnl`	Transfer Learning for Piano Sustain-Pedal Detection. CoRR Beici Liang, György Fazekas, Mark B. Sandler
2020	J	`jnl`	Learning Audio Embeddings with User Listening Data for Content-based Music Recommendation. CoRR Ke Chen, Beici Liang, Xiaoshuan Ma, Minwei Gu
2020	—	`conf`	Music Genre Classification Using Transfer Learning. MIPR Beici Liang, Minwei Gu
2020	A	`conf`	Phase-Aware Music Super-Resolution Using Generative Adversarial Networks. INTERSPEECH Shichao Hu, Bin Zhang, Beici Liang, Ethan Zhao, Simon Lui
2019	Misc	`conf`	Piano Sustain-pedal Detection Using Convolutional Neural Networks. ICASSP Beici Liang, György Fazekas, Mark B. Sandler
2019	B	`conf`	Transfer Learning for Piano Sustain-Pedal Detection. IJCNN Beici Liang, György Fazekas, Mark B. Sandler
2018	—	`conf`	Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. EUSIPCO Beici Liang, György Fazekas, Mark B. Sandler
2017	—	`conf`	Piano pedaller: a measurement system for classification and visualisation of piano pedalling techniques. NIME Beici Liang, György Fazekas, Andrew P. McPherson, Mark B. Sandler
2017	—	`conf`	Recognition of Piano Pedalling Techniques Using Gesture Data. Audio Mostly Conference Beici Liang, György Fazekas, Mark B. Sandler