Optical Audio Reconstruction for Stereo Phonograph Records Using White Light Interferometry. - Beinan Li; Jordan B. L. Smith; Ichiro Fujinaga (ISMIR, 2009)

Evaluating the Genre Classification Performance of Lyrical Features Relative to Audio, Symbolic and Cultural Features. - Cory McKay; John Ashley Burgoyne; Jason Hockman; Jordan B. L. Smith; Gabriel Vigliensoni; Ichiro Fujinaga (ISMIR, 2010)

Design and creation of a large-scale database of structural annotations. - Jordan Bennett Louis Smith; John Ashley Burgoyne; Ichiro Fujinaga; David De Roure; J. Stephen Downie (ISMIR, 2011)

Emergent Formal Structures of Factor Oracle-Driven Musical Improvisations. - Isaac Schankler; Jordan B. L. Smith; Alexandre R. J. François; Elaine Chew (MCM, 2011)

The Third International Conference on Mathematics and Computation in Music. - Jordan B. L. Smith; Isaac Schankler (Comput. Music. J., 2011)

Listening Level Changes Music Similarity. - Michael Terrell; György Fazekas; Andrew Simpson 003; Jordan B. L. Smith; Simon Dixon (ISMIR, 2012)

A Meta-Analysis of the MIREX Structural Segmentation Task. - Jordan B. L. Smith; Elaine Chew (ISMIR, 2013)

Using quadratic programming to estimate feature relevance in structural analyses of music. - Jordan B. L. Smith; Elaine Chew (ACM Multimedia, 2013)

Audio Properties of Perceived Boundaries in Music. - Jordan B. L. Smith; Ching-Hua Chuan; Elaine Chew (IEEE Trans. Multim., 2014)

Modeling Discourse Segments in Lyrics Using Repeated Patterns. - Kento Watanabe; Yuichiroh Matsubayashi; Naho Orita; Naoaki Okazaki; Kentaro Inui; Satoru Fukayama; Tomoyasu Nakano; Jordan B. L. Smith; Masataka Goto (COLING, 2016)

Using Priors to Improve Estimates of Music Structure. - Jordan B. L. Smith; Masataka Goto (ISMIR, 2016)

Probabilistic transcription of sung melody using a pitch dynamic model. - Luwei Yang; Akira Maezawa; Jordan B. L. Smith; Elaine Chew (ICASSP, 2017)

Classifying derivative works with search, text, audio and video features. - Jordan B. L. Smith; Masahiro Hamasaki; Masataka Goto (ICME, 2017)

Automatic Interpretation of Music Structure Analyses: A Validated Technique for Post-Hoc Estimation of the Rationale for an Annotation. - Jordan B. L. Smith; Elaine Chew (ISMIR, 2017)

Multi-Part Pattern Analysis: Combining Structure Analysis and Source Separation to Discover Intra-Part Repeated Sequences. - Jordan B. L. Smith; Masataka Goto (ISMIR, 2017)

Music Structure Boundary Detection and Labelling by a Deconvolution of Path-Enhanced Self-Similarity Matrix. - Tian Cheng 001; Jordan B. L. Smith; Masataka Goto (ICASSP, 2018)

Nonnegative Tensor Factorization for Source Separation of Loops in Audio. - Jordan B. L. Smith; Masataka Goto (ICASSP, 2018)

Unmixer: An Interface for Extracting and Remixing Loops. - Jordan B. L. Smith; Yuta Kawasaki; Masataka Goto (ISMIR, 2019)

Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops. - Bo-Yu Chen; Jordan B. L. Smith; Yi-Hsuan Yang (ISMIR, 2020)

The Freesound Loop Dataset and Annotation Tool. - 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 (ISMIR, 2020)

Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications. - Oriol Nieto; Gautham J. Mysore; Cheng-i Wang; Jordan B. L. Smith; Jan Schlüter; Thomas Grill; Brian McFee (Trans. Int. Soc. Music. Inf. Retr., 2020)

Modeling the Compatibility of Stem Tracks to Generate Music Mashups. - Jiawen Huang; Ju-Chiang Wang; Jordan B. L. Smith; Xuchen Song; Yuxuan Wang 002 (AAAI, 2021)

Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-Task Learning. - Ju-Chiang Wang; Jordan B. L. Smith; Jitong Chen; Xuchen Song; Yuxuan Wang 002 (ICASSP, 2021)

Supervised Metric Learning For Music Structure Features. - Ju-Chiang Wang; Jordan B. L. Smith; Wei Tsung Lu; Xuchen Song (ISMIR, 2021)

Supervised Metric Learning for Music Structure Feature. - Ju-Chiang Wang; Jordan B. L. Smith; Wei Tsung Lu; Xuchen Song (CoRR, 2021)

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 (ICASSP, 2022)

Modeling the rhythm from lyrics for melody generation of pop songs. - Daiyu Zhang; Ju-Chiang Wang; Katerina Kosta; Jordan B. L. Smith; Shicen Zhou (ISMIR, 2022)

MuSFA: Improving Music Structural Function Analysis with Partially Labeled Data. - Ju-Chiang Wang; Jordan B. L. Smith; Yun-Ning Hung (CoRR, 2022)

Modeling the Rhythm from Lyrics for Melody Generation of Pop Song. - Daiyu Zhang; Ju-Chiang Wang; Katerina Kosta; Jordan B. L. Smith; Shicen Zhou (CoRR, 2023)

SymPAC: Scalable Symbolic Music Generation With Prompts and Constraints. - Haonan Chen; Jordan B. L. Smith; Janne Spijkervet; Ju-Chiang Wang; Pei Zou; Bochen Li; Qiuqiang Kong; Xingjian Du (ISMIR, 2024)

A Tool for Detecting Similarities in Jupyter Notebooks Used as Assessment Reports. - Nikesh Bajaj; Dimitrios Chiotis; Reza Moosaei; Jordan B. L. Smith; Pengfei Fan; Jesús Requena-Carrión (EDUCON, 2025)