Publications論文與專利

Google Scholar profile

2025

  1. 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

  1. 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

  1. 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

  1. S. Dubnov, K. Huang, C. Wang. Towards Cross-Cultural Analysis Using Music Information Dynamics. arXiv:2111.12588.

2020

  1. 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.
  2. 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.
  3. S. Wager, G. Tzanetakis, C. Wang, M. Kim. Deep Autotuner: A Pitch Correcting Network for Singing Performances. Proceedings of IEEE ICASSP 2020.

2019

  1. 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.
  2. 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

  1. C. Wang, G. Tzanetakis. Singing Style Investigation by Residual Siamese Convolutional Neural Networks. Proceedings of IEEE ICASSP 2018.
  2. C. Wang. Analysis and Generation of Music Signals with the Variable Markov Oracle. PhD dissertation, University of California, San Diego.

2017

  1. C. Wang, G. J. Mysore, S. Dubnov. Re-Visiting the Music Segmentation Problem with Crowdsourcing. Proceedings of ISMIR 2017.
  2. 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

  1. C. Wang, J. Hsu, S. Dubnov. Machine Improvisation with Variable Markov Oracle: Toward Guided and Structured Improvisation. Computers in Entertainment, 14(3), 2016.
  2. C. Wang, G. J. Mysore. Structural Segmentation with the Variable Markov Oracle and Boundary Adjustment. Proceedings of IEEE ICASSP 2016.

2015

  1. C. Wang, S. Dubnov. The Variable Markov Oracle: Algorithms for Human Gesture Applications. IEEE MultiMedia, 22(4), 2015.
  2. 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.
  3. T. Dubnov, C. Wang. Free-body Gesture Tracking and Augmented Reality Improvisation for Floor and Aerial Dance. arXiv:1509.04751.
  4. C. Wang, S. Dubnov. Pattern Discovery from Audio Recordings by Variable Markov Oracle: A Music Information Dynamics Approach. Proceedings of IEEE ICASSP 2015.

2014

  1. 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).
  2. C. Wang, T. Smyth, Z. C. Lipton. Estimation of Saxophone Control Parameters by Convex Optimization. Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM14).
  3. C. Wang, S. Dubnov. Guided Music Synthesis with Variable Markov Oracle. 3rd International Workshop on Musical Metacreation (MUME 2014).
  4. T. Smyth, C. Wang. Toward Real-Time Estimation of Tonehole Configuration. Proceedings of the Joint ICMC–SMC 2014 Conference.

2013

  1. C. Wang. Quantifying Pianist Style: An Investigation of Performer Space and Expressive Gestures from Audio Recordings. Master’s thesis, New York University.

2011

  1. C. Wang. A Report on Information Theoretic Approaches with Melodic Boundaries Detection. Technical report.

Patents專利

  1. C. Wang, G. J. Mysore. Intuitive music visualization using efficient structural segmentation. US 10,446,123, issued 2019-10-15.
  2. C. Wang, S. Sullivan, D. A. Steinwedel, G. Tzanetakis. Densification in Music Search and Recommendation. US 2022/0222294 A1, application filed 2021-02-22.