Y
Ye Wang
Researcher at National University of Singapore
Publications - 154
Citations - 3605
Ye Wang is an academic researcher from National University of Singapore. The author has contributed to research in topics: Audio signal & Audio signal processing. The author has an hindex of 29, co-authored 149 publications receiving 3178 citations. Previous affiliations of Ye Wang include Nokia.
Papers
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Proceedings ArticleDOI
Improving Content-based and Hybrid Music Recommendation using Deep Learning
Xinxi Wang,Ye Wang +1 more
TL;DR: This work uses a novel model based on deep belief network and probabilistic graphical model to unify the two stages of collaborative filtering into an automated process that simultaneously learns features from audio content and makes personalized recommendations.
Proceedings ArticleDOI
Context-aware mobile music recommendation for daily activities
TL;DR: A probabilistic model to integrate contextual information with music content analysis to offer music recommendation for daily activities is presented, and a prototype implementation of the model and prototype are presented.
Proceedings ArticleDOI
Effect of packet size on loss rate and delay in wireless links
Jari Korhonen,Ye Wang +1 more
TL;DR: It is shown that careful design of packetization schemes in the application layer may significantly improve radio link resource utilization in delay sensitive media streaming under difficult wireless network conditions.
Journal ArticleDOI
A Validated Smartphone-Based Assessment of Gait and Gait Variability in Parkinson’s Disease
TL;DR: Findings highlight specific opportunities for smartphone-based gait analysis to serve as an alternative to conventional gaitAnalysis methods, particularly when those methods are cost-prohibitive, cumbersome, or inconvenient.
Proceedings ArticleDOI
LyricAlly: automatic synchronization of acoustic musical signals and textual lyrics
TL;DR: A prototype that automatically aligns acoustic musical signals with their corresponding textual lyrics, in a manner similar to manually-aligned karaoke, is presented, using a multimodal approach.