7 papers:
- PPoPP-2014-BauerTA #named #performance
- Singe: leveraging warp specialization for high performance on GPUs (MB, ST, AA), pp. 119–130.
- HCI-AS-2013-HuangC13a #education #interface #learning #music #self #visualisation
- Sound to Sight: The Effects of Self-generated Visualization on Music Sight-Singing as an Alternate Learning Interface for Music Education within a Web-Based Environment (YTH, CNC), pp. 386–390.
- HIMI-D-2013-IsogaiN #modelling #motivation #music #recommendation
- Modeling of Music Recommendation Methods to Promote the User’s Singing Motivation — For Next-Generation Japanese Karaoke Systems (SI, MN), pp. 439–448.
- SIGIR-2011-StuparM #named
- Picasso — to sing, you must close your eyes and draw (AS, SM), pp. 715–724.
- ICPR-v2-2004-LeungNL #classification
- ICA-FX Features for Classification of Singing Voice and Instrumental Sound (TWL, CWN, RWHL), pp. 367–370.
- ICPR-v4-2002-Al-AniD #feature model
- Feature Selection sing a Mutual Information Based Measure (AAA, MD), pp. 82–85.
- ITiCSE-1999-Siegel #infinity #why
- Why do fools fall into infinite loops: singing to your computer science class (EVS), pp. 167–170.