music-4

Instrument Playing Technique Detection

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

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, Wei Li•Wed Mar 22 2023

This paper formulate it as a frame-level multi-label classification problem and applies it to Guzheng, a Chinese plucked string instrument, and proposes a new method to solve this problem using multi-scale network and self-attention.

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Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an Example

Jingru Li, Xiaoou Chen, Zijin Li, Shicheng Zhang, Baoqiang Han, Deshun Yang•Sat Oct 19 2019

An algorithm to detect on variable length audio based on Sound Event Detection by FCN for musical instrument playing technique detection and chooses Erhu, a well-known Chinese bowed-stringed instrument, to experiment with the method.

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Mertech: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model with Multi-Task Finetuning

Emmanouil Benetos, Qiuqiang Kong, Dichucheng Li, Mingjin Che, Fan Xia, Yi Ma, Weixing Wei, Yulun Wu, Wei Li•Sat Oct 14 2023

This paper proposes to apply a self-supervised learning model pre-trained on large-scale unlabeled music data and finetune it on IPT detection tasks to address data scarcity and class imbalance challenges.

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