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Jordan B. L. Smith
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Year
Design and creation of a large-scale database of structural annotations.
JBL Smith, JA Burgoyne, I Fujinaga, D De Roure, JS Downie
ISMIR 11, 555-560, 2011
2052011
Evaluating the Genre Classification Performance of Lyrical Features Relative to Audio, Symbolic and Cultural Features.
C McKay, JA Burgoyne, J Hockman, JBL Smith, G Vigliensoni, I Fujinaga
ISMIR, 213-218, 2010
762010
Audio-based music structure analysis: Current trends, open challenges, and applications
O Nieto, GJ Mysore, C Wang, JBL Smith, J Schlüter, T Grill, B McFee
Transactions of the International Society for Music Information Retrieval 3 (1), 2020
402020
A meta-analysis of the mirex structure segmentation task
JBL Smith, E Chew
Proc. of the 14th International Society for Music Information Retrieval …, 2013
332013
Probabilistic transcription of sung melody using a pitch dynamic model
L Yang, A Maezawa, JBL Smith, E Chew
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017
282017
Audio properties of perceived boundaries in music
JBL Smith, CH Chuan, E Chew
IEEE transactions on multimedia 16 (5), 1219-1228, 2014
232014
A comparison and evaluation of approaches to the automatic formal analysis of musical audio
J Smith
182011
To catch a chorus, verse, intro, or anything else: Analyzing a song with structural functions
JC Wang, YN Hung, JBL Smith
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
162022
Nonnegative tensor factorization for source separation of loops in audio
JBL Smith, M Goto
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
162018
Modeling Discourse Segments in Lyrics Using Repeated Patterns
K Watanabe, Y Matsubayashi, N Orita, N Okazaki, K Inui, S Fukayama, ...
Proceedings of the 26th International Conference on Computational …, 2016
162016
Explaining listener differences in the perception of musical structure
J Smith
Explaining Listener Di erences in the Perception of Musical Structure, 2014
162014
Using quadratic programming to estimate feature relevance in structural analyses of music
JBL Smith, E Chew
Proceedings of the 21st ACM international conference on Multimedia, 113-122, 2013
162013
Supervised metric learning for music structure features
JC Wang, JBL Smith, WT Lu, X Song
arXiv preprint arXiv:2110.09000, 2021
152021
Music structure boundary detection and labelling by a deconvolution of path-enhanced self-similarity matrix
T Cheng, JBL Smith, M Goto
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
152018
The freesound loop dataset and annotation tool
A Ramires, F Font, D Bogdanov, JBL Smith, YH Yang, J Ching, BY Chen, ...
arXiv preprint arXiv:2008.11507, 2020
142020
Neural loop combiner: Neural network models for assessing the compatibility of loops
BY Chen, JBL Smith, YH Yang
arXiv preprint arXiv:2008.02011, 2020
142020
Listening as a creative act: Meaningful differences in structural annotations of improvised performances
JBL Smith, I Schankler, E Chew
Music Theory Online 20 (3), 2014
142014
Unmixer: An Interface for Extracting and Remixing Loops.
JBL Smith, Y Kawasaki, M Goto
ISMIR, 824-831, 2019
122019
Supervised chorus detection for popular music using convolutional neural network and multi-task learning
JC Wang, JBL Smith, J Chen, X Song, Y Wang
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
112021
Mathemusical Conversations: Mathematics and Computation in Music Performance and Composition
E Chew, G Assayag, J BL Smith
World Scientific, 2016
112016
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Articles 1–20