Publications論文與專利
Google Scholar profile
2025
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I. Shapiro, R. Huang, Z. Novack, C. Wang, H.-W. Dong, T. Berg-Kirkpatrick, et al.
Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora.
arXiv:2502.15849.
2023
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O. Cífka, C. Dimitriou, C. Wang, H. Schreiber, L. Miner, F.-R. Stöter.
Jam-ALT: A Formatting-Aware Lyrics Transcription Benchmark.
arXiv:2311.13987.
2022
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K. Chen, S. Yu, C. Wang, W. Li, T. Berg-Kirkpatrick, S. Dubnov.
ToNet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music.
Proceedings of IEEE ICASSP 2022.
2021
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S. Dubnov, K. Huang, C. Wang.
Towards Cross-Cultural Analysis Using Music Information Dynamics.
arXiv:2111.12588.
2020
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O. Nieto, G. J. Mysore, C. Wang, J. B. L. Smith, J. Schlüter, T. Grill, B. McFee.
Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications.
Transactions of the International Society for Music Information Retrieval, 3(1), 2020.
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K. Chen, C. Wang, T. Berg-Kirkpatrick, S. Dubnov.
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm.
Proceedings of ISMIR 2020.
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S. Wager, G. Tzanetakis, C. Wang, M. Kim.
Deep Autotuner: A Pitch Correcting Network for Singing Performances.
Proceedings of IEEE ICASSP 2020.
2019
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S. Wager, G. Tzanetakis, S. Sullivan, C. Wang, J. Shimmin, M. Kim, P. Cook.
Intonation: A Dataset of Quality Vocal Performances Refined by Spectral Clustering on Pitch Congruence.
Proceedings of IEEE ICASSP 2019.
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S. Wager, G. Tzanetakis, C. Wang, L. Guo, A. Sivaraman, M. Kim.
Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances.
arXiv:1902.00956.
2018
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C. Wang, G. Tzanetakis.
Singing Style Investigation by Residual Siamese Convolutional Neural Networks.
Proceedings of IEEE ICASSP 2018.
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C. Wang.
Analysis and Generation of Music Signals with the Variable Markov Oracle.
PhD dissertation, University of California, San Diego.
2017
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C. Wang, G. J. Mysore, S. Dubnov.
Re-Visiting the Music Segmentation Problem with Crowdsourcing.
Proceedings of ISMIR 2017.
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C. Wang, S. Dubnov.
Context-Aware Hidden Markov Models of Jazz Music with Variable Markov Oracle.
5th International Workshop on Musical Metacreation (MUME 2017), at ICCC 2017.
2016
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C. Wang, J. Hsu, S. Dubnov.
Machine Improvisation with Variable Markov Oracle: Toward Guided and Structured Improvisation.
Computers in Entertainment, 14(3), 2016.
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C. Wang, G. J. Mysore.
Structural Segmentation with the Variable Markov Oracle and Boundary Adjustment.
Proceedings of IEEE ICASSP 2016.
2015
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C. Wang, S. Dubnov.
The Variable Markov Oracle: Algorithms for Human Gesture Applications.
IEEE MultiMedia, 22(4), 2015.
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C. Wang, J. Hsu, S. Dubnov.
Music Pattern Discovery with Variable Markov Oracle: A Unified Approach to Symbolic and Audio Representations.
Proceedings of ISMIR 2015.
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T. Dubnov, C. Wang.
Free-body Gesture Tracking and Augmented Reality Improvisation for Floor and Aerial Dance.
arXiv:1509.04751.
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C. Wang, S. Dubnov.
Pattern Discovery from Audio Recordings by Variable Markov Oracle: A Music Information Dynamics Approach.
Proceedings of IEEE ICASSP 2015.
2014
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C. Wang, S. Dubnov.
Variable Markov Oracle: A Novel Sequential Data Points Clustering Algorithm with Application to 3D Gesture Query-Matching.
Proceedings of IEEE International Symposium on Multimedia (ISM 2014).
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C. Wang, T. Smyth, Z. C. Lipton.
Estimation of Saxophone Control Parameters by Convex Optimization.
Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM14).
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C. Wang, S. Dubnov.
Guided Music Synthesis with Variable Markov Oracle.
3rd International Workshop on Musical Metacreation (MUME 2014).
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T. Smyth, C. Wang.
Toward Real-Time Estimation of Tonehole Configuration.
Proceedings of the Joint ICMC–SMC 2014 Conference.
2013
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C. Wang.
Quantifying Pianist Style: An Investigation of Performer Space and Expressive Gestures from Audio Recordings.
Master’s thesis, New York University.
2011
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C. Wang.
A Report on Information Theoretic Approaches with Melodic Boundaries Detection.
Technical report.
Patents專利
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C. Wang, G. J. Mysore.
Intuitive music visualization using efficient structural segmentation.
US 10,446,123, issued 2019-10-15.
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C. Wang, S. Sullivan, D. A. Steinwedel, G. Tzanetakis.
Densification in Music Search and Recommendation.
US 2022/0222294 A1, application filed 2021-02-22.