Követés
Jordan B. L. Smith
Jordan B. L. Smith
Lecturer in Audio Signal Processing
E-mail megerősítve itt: qmul.ac.uk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
2212011
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
632020
A meta-analysis of the mirex structure segmentation task
JBL Smith, E Chew
Proc. of the 14th International Society for Music Information Retrieval …, 2013
342013
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
302017
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
282022
Audio properties of perceived boundaries in music
JBL Smith, CH Chuan, E Chew
IEEE transactions on multimedia 16 (5), 1219-1228, 2014
262014
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
212020
Supervised metric learning for music structure features
JC Wang, JBL Smith, WT Lu, X Song
arXiv preprint arXiv:2110.09000, 2021
192021
A comparison and evaluation of approaches to the automatic formal analysis of musical audio
J Smith
McGill University, 2011
182011
Neural loop combiner: Neural network models for assessing the compatibility of loops
BY Chen, JBL Smith, YH Yang
arXiv preprint arXiv:2008.02011, 2020
172020
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
172018
Nonnegative tensor factorization for source separation of loops in audio
JBL Smith, M Goto
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
172018
Mathemusical Conversations: Mathematics and Computation in Music Performance and Composition
JBL Smith, E Chew, G Assayag
World Scientific, 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
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
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 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
152021
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
152016
Modeling the compatibility of stem tracks to generate music mashups
J Huang, JC Wang, JBL Smith, X Song, Y Wang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 187-195, 2021
132021
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