MMCR
:musical_note: ICANN‘2021: Multi-Modal Chorus Recognition for Improving Song Search
Install / Use
/learn @krystalan/MMCRREADME
Multi-Model Chorus Recognition
Code and Dataset of ICANN2021 paper: Multi-Model Chorus Recognition for Improving Song Search
Dependency
-
python 3.6+
-
PyTorch 1.0+
-
Transformers 2.6.0
-
others
- python_speech_features
- Pandas
CHORD
You can download the CHOrus Recognition Dataset here and unzip to data/ file.
Pre-trained Language Model
We used BERT-wwm-ext, Chinese pre-trained language model
Related introduction and download link please refer to <u>Chinese-BERT-wwm</u>.
Train and Test
For training, you can run commands like this:
python train.py
For evaluation, the command may like this:
python test.py
Citation
If you use this code useful, please star our repo or consider citing:
@article{Wang2021MultiModalCR,
title={Multi-Modal Chorus Recognition for Improving Song Search},
author={Jiaan Wang and Zhixu Li and Binbin Gu and Tingyi Zhang and Qingsheng Liu and Zhigang Chen},
journal={ArXiv},
year={2021},
volume={abs/2106.16153}
}
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