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Instrument playing techniques (IPTs) constitute a pivotal component of musical expression.
“mir_eval: A transparent implementation of common mir metrics,”
Colin Raffel, Brian McFee, Eric J Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, and Daniel PW Ellis, · 2014
Earlier work this paper cites.
“Electric guitar playing technique detection in real-world recording based on f0 sequence pattern recognition.,”
Yuan-Ping Chen, Li Su, and Yi-Hsuan Yang, · 2015
Earlier work this paper cites.
“Metrics for polyphonic sound event detection,”
Annamaria Mesaros, Toni Heittola, and Tuomas Virtanen, · 2016
Earlier work this paper cites.
Computational modelling and analysis of vibrato and portamento in expressive music performance
Luwei Yang, · 2017
Earlier work this paper cites.
“Attention is all you need,”
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin, · 2017
Earlier work this paper cites.
“The story of audioset,” http://www.cs.tut.fi/sgn/arg/dcase2017/documents/workshop_presentations/the_story_of_audioset.pdf
Rif A. Saurous et al, · 2017
Earlier work this paper cites.
“Extended playing techniques: the next milestone in musical instrument recognition,”
Vincent Lostanlen, Joakim Andén, and Mathieu Lagrange, · 2018
Earlier work this paper cites.
“Onsets and frames: Dual-objective piano transcription,”
Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse Engel, Sageev Oore, and Douglas Eck, · 2018
Earlier work this paper cites.
“Tent: Technique-embedded note tracking for real-world guitar solo recordings,”
Ting-Wei Su, Yuan-Ping Chen, Li Su, and Yi-Hsuan Yang, · 2019
Earlier work this paper cites.
“Folded cqt rcnn for real-time recognition of instrument playing techniques,”
Jean-Francois Ducher and Philippe Esling, · 2019
Cited alongside, same era.
“Investigating the perceptual validity of evaluation metrics for automatic piano music transcription,”
Adrien Ycart, Lele Liu, Emmanouil Benetos, and Marcus Pearce, · 2020
Cited alongside, same era.
“Hubert: Self-supervised speech representation learning by masked prediction of hidden units,”
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, Kushal Lakhotia, Ruslan Salakhutdinov, and Abdelrahman Mohamed, · 2021
Cited alongside, same era.
“Self-supervised learning is more robust to dataset imbalance,”
Hong Liu, Jeff Z HaoChen, Adrien Gaidon, and Tengyu Ma, · 2021
Cited alongside, same era.
“Speech representation learning through self-supervised pretraining and multi-task finetuning,”
Yi-Chen Chen, Shu-wen Yang, Cheng-Kuang Lee, Simon See, and Hung-yi Lee, · 2021
Cited alongside, same era.
“High fidelity neural audio compression,”
Alexandre Défossez, Jade Copet, Gabriel Synnaeve, and Yossi Adi, · 2022
Later among the works it cites.
“Improving lyrics alignment through joint pitch detection,”
Jiawen Huang, Emmanouil Benetos, and Sebastian Ewert, · 2022
Later among the works it cites.
“Note and playing technique transcription of electric guitar solos in real-world music performance,”
Tung-Sheng Huang, Ping-Chung Yu, and Li Su, · 2023
Closest in time.
“Frame-level multi-label playing technique detection using multi-scale network and self-attention mechanism,”
Dichucheng Li, Mingjin Che, Wenwu Meng, Yulun Wu, Yi Yu, Fan Xia, and Wei Li, · 2023
Closest in time.
“Mert: Acoustic music understanding model with large-scale self-supervised training,”
Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, et al., · 2023
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“Adaptive scattering transforms for playing technique recognition,”
Changhong Wang, Emmanouil Benetos, Vincent Lostanlen, and Elaine Chew, · 2022
Cited alongside, same era.
“Playing technique detection by fusing note onset information in guzheng performance,”
Dichucheng Li, Yulun Wu, Qinyu Li, Jiahao Zhao, Yi Yu, Fan Xia, and Wei Li, · 2022
Cited alongside, same era.
“Supervised and unsupervised learning of audio representations for music understanding,”
Matthew C McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, and Andreas Ehmann, · 2022
Cited alongside, same era.
“Map-music2vec: A simple and effective baseline for self-supervised music audio representation learning,”
Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao MA, Chenghua Lin, Xingran Chen, Anton Ragni, Hanzhi Yin, Zhijie Hu, Haoyu He, et al., · 2022
Cited alongside, same era.
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“Marble: Music audio representation benchmark for universal evaluation,”
Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Le Zhuo, Yiqi Liu, Jiawen Huang, Zeyue Tian, et al., · 2023
Closest in time.
Yuya Yamamoto, · 2023
Closest in time.
“Exploring efficient-tuning methods in self-supervised speech models,”
Zih-Ching Chen, Chin-Lun Fu, Chih-Ying Liu, Shang-Wen Daniel Li, and Hung-yi Lee, · 2023
Closest in time.