Jordan B. L. Smith

36 papers A* 2A 1B 1C 1Misc 5Journal 12Unranked 14
YearRankTypeTitle / Venue / Authors
2025 C conf
A Tool for Detecting Similarities in Jupyter Notebooks Used as Assessment Reports.
EDUCON
Nikesh Bajaj, Dimitrios Chiotis, Reza Moosaei, Jordan B. L. Smith, Pengfei Fan, Jesús Requena-Carrión
2024 J jnl
SymPAC: Scalable Symbolic Music Generation With Prompts And Constraints.
CoRR
Haonan Chen, Jordan B. L. Smith, Janne Spijkervet, Ju-Chiang Wang, Pei Zou, Bochen Li, Qiuqiang Kong, Xingjian Du
2024 — conf
SymPAC: Scalable Symbolic Music Generation With Prompts and Constraints.
ISMIR
Haonan Chen, Jordan B. L. Smith, Janne Spijkervet, Ju-Chiang Wang, Pei Zou, Bochen Li, Qiuqiang Kong, Xingjian Du
2023 J jnl
Modeling the Rhythm from Lyrics for Melody Generation of Pop Song.
CoRR
Daiyu Zhang, Ju-Chiang Wang, Katerina Kosta, Jordan B. L. Smith, Shicen Zhou
2022 — conf
Modeling the rhythm from lyrics for melody generation of pop songs.
ISMIR
Daiyu Zhang, Ju-Chiang Wang, Katerina Kosta, Jordan B. L. Smith, Shicen Zhou
2022 J jnl
MuSFA: Improving Music Structural Function Analysis with Partially Labeled Data.
CoRR
Ju-Chiang Wang, Jordan B. L. Smith, Yun-Ning Hung
2022 Misc conf
To Catch A Chorus, Verse, Intro, or Anything Else: Analyzing a Song with Structural Functions.
ICASSP
Ju-Chiang Wang, Yun-Ning Hung, Jordan B. L. Smith
2022 J jnl
To catch a chorus, verse, intro, or anything else: Analyzing a song with structural functions.
CoRR
Ju-Chiang Wang, Yun-Ning Hung, Jordan B. L. Smith
2021 A* conf
Modeling the Compatibility of Stem Tracks to Generate Music Mashups.
AAAI
Jiawen Huang, Ju-Chiang Wang, Jordan B. L. Smith, Xuchen Song, Yuxuan Wang
2021 J jnl
Modeling the Compatibility of Stem Tracks to Generate Music Mashups.
CoRR
Jiawen Huang, Ju-Chiang Wang, Jordan B. L. Smith, Xuchen Song, Yuxuan Wang
2021 Misc conf
Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-Task Learning.
ICASSP
Ju-Chiang Wang, Jordan B. L. Smith, Jitong Chen, Xuchen Song, Yuxuan Wang
2021 J jnl
Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-task Learning.
CoRR
Ju-Chiang Wang, Jordan B. L. Smith, Jitong Chen, Xuchen Song, Yuxuan Wang
2021 — conf
Supervised Metric Learning For Music Structure Features.
ISMIR
Ju-Chiang Wang, Jordan B. L. Smith, Wei Tsung Lu, Xuchen Song
2021 J jnl
Supervised Metric Learning for Music Structure Feature.
CoRR
Ju-Chiang Wang, Jordan B. L. Smith, Wei Tsung Lu, Xuchen Song
2020 J jnl
Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications.
Trans. Int. Soc. Music. Inf. Retr.
Oriol Nieto, Gautham J. Mysore, Cheng-i Wang, Jordan B. L. Smith, Jan Schlüter, Thomas Grill, Brian McFee
2020 — conf
Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops.
ISMIR
Bo-Yu Chen, Jordan B. L. Smith, Yi-Hsuan Yang
2020 J jnl
Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops.
CoRR
Bo-Yu Chen, Jordan B. L. Smith, Yi-Hsuan Yang
2020 — conf
The Freesound Loop Dataset and Annotation Tool.
ISMIR
António Ramires, Frederic Font, Dmitry Bogdanov, Jordan B. L. Smith, Yi-Hsuan Yang, Joann Ching, Bo-Yu Chen, Yueh-Kao Wu, Wei-Han Hsu, Xavier Serra
2020 J jnl
The Freesound Loop Dataset and Annotation Tool.
CoRR
António Ramires, Frederic Font, Dmitry Bogdanov, Jordan B. L. Smith, Yi-Hsuan Yang, Joann Ching, Bo-Yu Chen, Yueh-Kao Wu, Wei-Han Hsu, Xavier Serra
2019 — conf
Unmixer: An Interface for Extracting and Remixing Loops.
ISMIR
Jordan B. L. Smith, Yuta Kawasaki, Masataka Goto
2018 Misc conf
Music Structure Boundary Detection and Labelling by a Deconvolution of Path-Enhanced Self-Similarity Matrix.
ICASSP
Tian Cheng, Jordan B. L. Smith, Masataka Goto
2018 Misc conf
Nonnegative Tensor Factorization for Source Separation of Loops in Audio.
ICASSP
Jordan B. L. Smith, Masataka Goto
2017 — conf
Automatic Interpretation of Music Structure Analyses: A Validated Technique for Post-Hoc Estimation of the Rationale for an Annotation.
ISMIR
Jordan B. L. Smith, Elaine Chew
2017 A conf
Classifying derivative works with search, text, audio and video features.
ICME
Jordan B. L. Smith, Masahiro Hamasaki, Masataka Goto
2017 — conf
Multi-Part Pattern Analysis: Combining Structure Analysis and Source Separation to Discover Intra-Part Repeated Sequences.
ISMIR
Jordan B. L. Smith, Masataka Goto
2017 Misc conf
Probabilistic transcription of sung melody using a pitch dynamic model.
ICASSP
Luwei Yang, Akira Maezawa, Jordan B. L. Smith, Elaine Chew
2016 B conf
Modeling Discourse Segments in Lyrics Using Repeated Patterns.
COLING
Kento Watanabe, Yuichiroh Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Jordan B. L. Smith, Masataka Goto
2016 — conf
Using Priors to Improve Estimates of Music Structure.
ISMIR
Jordan B. L. Smith, Masataka Goto
2014 J jnl
Audio Properties of Perceived Boundaries in Music.
IEEE Trans. Multim.
Jordan B. L. Smith, Ching-Hua Chuan, Elaine Chew
2013 — conf
A Meta-Analysis of the MIREX Structural Segmentation Task.
ISMIR
Jordan B. L. Smith, Elaine Chew
2013 A* conf
Using quadratic programming to estimate feature relevance in structural analyses of music.
ACM Multimedia
Jordan B. L. Smith, Elaine Chew
2012 — conf
Listening Level Changes Music Similarity.
ISMIR
Michael Terrell, György Fazekas, Andrew Simpson, Jordan B. L. Smith, Simon Dixon
2011 — conf
Emergent Formal Structures of Factor Oracle-Driven Musical Improvisations.
MCM
Isaac Schankler, Jordan B. L. Smith, Alexandre R. J. François, Elaine Chew
2011 J jnl
The Third International Conference on Mathematics and Computation in Music.
Comput. Music. J.
Jordan B. L. Smith, Isaac Schankler
2010 — conf
Evaluating the Genre Classification Performance of Lyrical Features Relative to Audio, Symbolic and Cultural Features.
ISMIR
Cory McKay, John Ashley Burgoyne, Jason Hockman, Jordan B. L. Smith, Gabriel Vigliensoni, Ichiro Fujinaga
2009 — conf
Optical Audio Reconstruction for Stereo Phonograph Records Using White Light Interferometry.
ISMIR
Beinan Li, Jordan B. L. Smith, Ichiro Fujinaga