40 citations · 96 across the 15 of their papers we have counts for
5 papers · 1 filter
Toward Expressive Singing Voice Correction: On Perceptual Validity of Evaluation Metrics for Vocal Melody Extraction
Yin-Jyun Luo, Yuen-Jen Lin, Li Su
Singing voice correction (SVC) is an appealing application for amateur singers. Commercial products automate SVC by snapping pitch contours to equal-tempered scales, which could le…
Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts
Cheng-Che Lee, Wan-Yi Lin, Yen-Ting Shih +2
Music-to-visual style transfer is a challenging yet important cross-modal learning problem in the practice of creativity. Its major difference from the traditional image style tran…
Temporally Guided Music-to-Body-Movement Generation
Hsuan-Kai Kao, Li Su
This paper presents a neural network model to generate virtual violinist's 3-D skeleton movements from music audio. Improved from the conventional recurrent neural network models f…
A Human-Computer Duet System for Music Performance
Yuen-Jen Lin, Hsuan-Kai Kao, Yih-Chih Tseng +2
Virtual musicians have become a remarkable phenomenon in the contemporary multimedia arts. However, most of the virtual musicians nowadays have not been endowed with abilities to c…
Semi-supervised learning using teacher-student models for vocal melody extraction
Sangeun Kum, Jing-Hua Lin, Li Su +1
The lack of labeled data is a major obstacle in many music information retrieval tasks such as melody extraction, where labeling is extremely laborious or costly. Semi-supervised l…