Music sketchnet: Controllable music generation via factorized representations of pitch and rhythm K Chen, C Wang, T Berg-Kirkpatrick, S Dubnov arXiv preprint arXiv:2008.01291, 2020 | 58 | 2020 |
Guided Music Synthesis with Variable Markov Oracle C Wang, S Dubnov 3rd International Workshop on Musical Metacreation (MUME 2014), Tenth …, 2014 | 53 | 2014 |
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 Trans. Int. Soc. Music. Inf. Retr. 3 (1), 246-263, 2020 | 48 | 2020 |
Singing Style Investigation by Residual Siamese Convolutional Neural Networks C Wang, G Tzanetakis 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 2018 | 30 | 2018 |
The Variable Markov Oracle: Algorithms for Human Gesture Applications C Wang, S Dubnov IEEE MultiMedia, 54-67, 2015 | 24 | 2015 |
MUSIC PATTERN DISCOVERY WITH VARIABLE MARKOV ORACLE: A UNIFIED APPROACH TO SYMBOLIC AND AUDIO REPRESENTATIONS C Wang, J Hsu, S Dubnov International Society for Music Information Retrieval Conference, 176-182, 2015 | 23 | 2015 |
PATTERN DISCOVERY FROM AUDIO RECORDINGS BY VARIABLE MARKOV ORACLE: A MUSIC INFORMATION DYNAMICS APPROACH C Wang, S Dubnov 40th IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 23 | 2015 |
Deep autotuner: A pitch correcting network for singing performances S Wager, G Tzanetakis, C Wang, M Kim ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 17 | 2020 |
Machine improvisation with variable markov oracle: Toward guided and structured improvisation CI Wang, J Hsu, S Dubnov Computers in Entertainment (CIE) 14 (3), 1-18, 2016 | 17 | 2016 |
Intonation: A dataset of quality vocal performances refined by spectral clustering on pitch congruence S Wager, G Tzanetakis, S Sullivan, C Wang, J Shimmin, M Kim, P Cook ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 16 | 2019 |
Tonet: Tone-octave network for singing melody extraction from polyphonic music K Chen, S Yu, C Wang, W Li, T Berg-Kirkpatrick, S Dubnov ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 13 | 2022 |
Variable Markov Oracle: A Novel Sequential Data Points Clustering Algorithm with Application to 3D Gesture Query-Matching C Wang, S Dubnov IEEE International Symposium on Multimedia (ISM2014), 215 - 222, 2014 | 13 | 2014 |
RE-VISITING THE MUSIC SEGMENTATION PROBLEM WITH CROWDSOURCING C Wang, GJ Mysore, S Dubnov The 18th International Society for Music Information Retrieval Conference, 2017 | 12 | 2017 |
STRUCTURAL SEGMENTATION WITH THE VARIABLE MARKOV ORACLE AND BOUNDARY ADJUSTMENT C Wang, GJ Mysore Proceedings of ICASSP 2016, Shanghai., 2016 | 9 | 2016 |
Context-Aware Hidden Markov Models of Jazz Music with Variable Markov Oracle C Wang, S Dubnov 5th International Workshop on Musical Metacreation (MUME 2017) at the Eight …, 2017 | 7 | 2017 |
Quantifying Pianist Style - An Investigation of Performer Space and Expressive Gestures from Audio Recordings C Wang New York University, 2013 | 6 | 2013 |
Towards cross-cultural analysis using music information dynamics S Dubnov, K Huang, C Wang arXiv preprint arXiv:2111.12588, 2021 | 3 | 2021 |
Deep Autotuner: A data-driven approach to natural-sounding pitch correction for singing voice in karaoke performances S Wager, G Tzanetakis, C Wang, L Guo, A Sivaraman, M Kim arXiv preprint arXiv:1902.00956, 2019 | 3 | 2019 |
Densification in Music Search and Recommendation CI Wang, S Sullivan, DA Steinwedel, G Tzanetakis US Patent App. 17/181,791, 2022 | 2 | 2022 |
Learning audio features for singer identification and embedding C Wang, G Tzanetakis | 2 | 2018 |