activity
20202023
most citedSupervised Metric Learning for Music Structure Features

3 citations · 11 across the 8 of their papers we have counts for

collaborators

8 papers

eess.AS2023★ 1 cited

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…

cs.SD2022★ 1 cited

MuSFA: Improving Music Structural Function Analysis with Partially Labeled Data

Ju-Chiang Wang, Jordan B. L. Smith, Yun-Ning Hung

Music structure analysis (MSA) systems aim to segment a song recording into non-overlapping sections with useful labels. Previous MSA systems typically predict abstract labels in a…

eess.AS2022★ 1 cited

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…

eess.AS2021★ 3 cited

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…

eess.AS2021★ 2 cited

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…

cs.SD2021

Modeling the Compatibility of Stem Tracks to Generate Music Mashups

Jiawen Huang, Ju-Chiang Wang, Jordan B. L. Smith +2

A music mashup combines audio elements from two or more songs to create a new work. To reduce the time and effort required to make them, researchers have developed algorithms that…

eess.AS2020★ 2 cited

The Freesound Loop Dataset and Annotation Tool

Antonio Ramires, Frederic Font, Dmitry Bogdanov +7

Music loops are essential ingredients in electronic music production, and there is a high demand for pre-recorded loops in a variety of styles. Several commercial and community dat…

cs.SD2020★ 1 cited

Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops

Bo-Yu Chen, Jordan B. L. Smith, Yi-Hsuan Yang

Music producers who use loops may have access to thousands in loop libraries, but finding ones that are compatible is a time-consuming process; we hope to reduce this burden with a…