Intro 简介

The Chinese National Pentatonic Mode Recognition Model is trained on the Chinese National Pentatonic Mode Dataset, which combines manual annotation with computational analysis. This dataset collects and annotates audio files representing the five primary tonal modes in traditional Chinese music: Gong, Shang, Jiao, Zhi, and Yu (covering five-tone, six-tone, and seven-tone scales). Detailed annotations are provided for these modes, and an in-depth analysis of the methods for identifying Chinese ethnic five-tone modes is presented. The model employs feature extraction, spectral analysis, and pattern recognition techniques to efficiently and accurately identify and classify the five-tone modes in the music. This model's application not only facilitates the digital preservation of ethnic music but also offers robust data support and a technical framework for the analysis and retrieval of ethnic music features.

中国民族五声调式识别模型基于中国民族五声调式数据集进行训练，该数据集结合了人工标注与计算机分析的方法，专门收录了中国传统音乐中的五种基本调式：宫、商、角、徵、羽（涵盖五声、六声、七声音阶）。该数据集详细标注了这些调式的音频文件，并对中国民族五声调式的判别方法进行了深入分析。模型通过对音频信号进行特征提取、频谱分析以及模式识别，能够高效且准确地识别出音乐中的五声调式，并对其进行分类。该模型的应用不仅有助于民族音乐的数字化保存，还能为音乐学、民族音乐特征分析与检索提供有力的数据支持与技术框架。

Demo 在线演示

https://huggingface.co/spaces/ccmusic-database/CNPM

Usage 使用

from modelscope import snapshot_download
model_dir = snapshot_download("ccmusic-database/CNPM")

Maintenance 维护

git clone [email protected]:ccmusic-database/CNPM
cd CNPM

Results 训练结果

Backbone	Size(M)	Mel	CQT	Chroma
vit_l_32	306.5	0.680	0.769	0.399
vit_l_16	304.3	*0.823*	*0.859*	*0.549*

vgg11_bn	132.9	*0.807*	*0.843*	*0.609*
regnet_y_16gf	83.6	0.590	0.832	0.535
wide_resnet50_2	68.9	0.694	0.757	0.531
alexnet	61.1	0.742	0.744	0.542
shufflenet_v2_x2_0	7.4	0.473	0.720	0.266

Best result 最佳结果

Loss curve
Training and validation accuracy
Confusion matrix

Dataset 数据集

https://huggingface.co/datasets/ccmusic-database/CNPM

Mirror 镜像

https://www.modelscope.cn/models/ccmusic-database/CNPM

Evaluation 校验

https://github.com/monetjoe/ccmusic_eval

Cite 引用

@dataset{zhaorui_liu_2021_5676893,
  author       = {Monan Zhou, Shenyang Xu, Zhaorui Liu, Zhaowen Wang, Feng Yu, Wei Li and Baoqiang Han},
  title        = {CCMusic: an Open and Diverse Database for Chinese Music Information Retrieval Research},
  month        = {mar},
  year         = {2024},
  publisher    = {HuggingFace},
  version      = {1.2},
  url          = {https://huggingface.co/ccmusic-database}
}

ccmusic-database
/

CNPM