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Cheng-i Wang
Cheng-i Wang
audioshake.ai
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Zitiert von
Zitiert von
Jahr
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
672020
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
662020
Guided Music Synthesis with Variable Markov Oracle
C Wang, S Dubnov
3rd International Workshop on Musical Metacreation (MUME 2014), Tenth …, 2014
542014
Singing Style Investigation by Residual Siamese Convolutional Neural Networks
C Wang, G Tzanetakis
2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 2018
302018
The Variable Markov Oracle: Algorithms for Human Gesture Applications
C Wang, S Dubnov
IEEE MultiMedia, 54-67, 2015
252015
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
252015
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
232015
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
192020
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
182022
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
172016
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
162019
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
132014
RE-VISITING THE MUSIC SEGMENTATION PROBLEM WITH CROWDSOURCING
C Wang, GJ Mysore, S Dubnov
The 18th International Society for Music Information Retrieval Conference, 2017
122017
STRUCTURAL SEGMENTATION WITH THE VARIABLE MARKOV ORACLE AND BOUNDARY ADJUSTMENT
C Wang, GJ Mysore
Proceedings of ICASSP 2016, Shanghai., 2016
122016
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
72017
Quantifying Pianist Style - An Investigation of Performer Space and Expressive Gestures from Audio Recordings
C Wang
New York University, 2013
62013
Densification in Music Search and Recommendation
CI Wang, S Sullivan, DA Steinwedel, G Tzanetakis
US Patent App. 17/181,791, 2022
42022
Towards cross-cultural analysis using music information dynamics
S Dubnov, K Huang, C Wang
arXiv preprint arXiv:2111.12588, 2021
42021
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
42019
Jam-ALT: A Formatting-Aware Lyrics Transcription Benchmark
O Cífka, C Dimitriou, C Wang, H Schreiber, L Miner, FR Stöter
arXiv preprint arXiv:2311.13987, 2023
32023
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