GuzhengTech99_ICASSP2023

Paper:

Dichucheng Li, Mingjin Che, Wenwu Meng, Yulun Wu, Yi Yu, Fan Xia and Wei Li "Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)

Supplementary materials

https://lidcc.github.io/GuzhengTech99/

File structure

• ./function/: store all the python files related to training and testing
  • fit.py: training process
  • lib.py: loss function and metrics computing method
  • model.py: model structure
  • norm_lib.py: data normalization
  • load_data.py: load data
  • config.py: configuration option
• run.py: start the training process
• test_frame.py: start the evaluation process

Training & Test Process

• Download Guzheng_Tech99 dataset (https://ccmusic-database.github.io/en/database/csmtd.html#Tech99) you can also download here: https://huggingface.co/datasets/ccmusic-database/Guzheng_Tech99
• Create a new folder "/data/model" to store Model's parameters during training process
• Train the model:

python run.py

• Test:

python test_frame.py

Citation

@inproceedings{li2023frame,
  title={Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism},
  author={Li, Dichucheng and Che, Mingjin and Meng, Wenwu and Wu, Yulun and Yu, Yi and Xia, Fan and Li, Wei},
  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP},
  year={2023},
  organization={IEEE}
}