14 citations · 31 across the 15 of their papers we have counts for
5 papers · 1 filter
SingNet: A Real-time Singing Voice Beat and Downbeat Tracking System
Mojtaba Heydari, Ju-Chiang Wang, Zhiyao Duan
Singing voice beat and downbeat tracking posses several applications in automatic music production, analysis and manipulation. Among them, some require real-time processing, such a…
Modeling the Rhythm from Lyrics for Melody Generation of Pop Song
Daiyu Zhang, Ju-Chiang Wang, Katerina Kosta +2
Creating a pop song melody according to pre-written lyrics is a typical practice for composers. A computational model of how lyrics are set as melodies is important for automatic c…
To catch a chorus, verse, intro, or anything else: Analyzing a song with structural functions
Ju-Chiang Wang, Yun-Ning Hung, Jordan B. L. Smith
Conventional music structure analysis algorithms aim to divide a song into segments and to group them with abstract labels (e.g., 'A', 'B', and 'C'). However, explicitly identifyin…
Supervised Metric Learning for Music Structure Features
Ju-Chiang Wang, Jordan B. L. Smith, Wei-Tsung Lu +1
Music structure analysis (MSA) methods traditionally search for musically meaningful patterns in audio: homogeneity, repetition, novelty, and segment-length regularity. Hand-crafte…
Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-task Learning
Ju-Chiang Wang, Jordan B. L. Smith, Jitong Chen +2
This paper presents a novel supervised approach to detecting the chorus segments in popular music. Traditional approaches to this task are mostly unsupervised, with pipelines desig…