ccmusic-database/erhu_playing_tech

Dataset Card for Erhu Playing Technique

The raw dataset comprises 1,500 erhu audio clips in .wav format, all performed by professional erhu players. These clips are categorized by annotators with erhu performance proficiency into 11 classes, namely: split bow, pad bow, overtone, legato & glissando & slur, strike bow, plucked string, throw bow, staccato bow, tremolo, and vibrato. For certain playing techniques, multiple audio clips are available, each played at different dynamics. This dataset was created and has been utilized for erhu playing technique detection.

Dataset Summary

The label system is hierarchical and contains three levels in the raw dataset. The first level consists of four categories: trill, staccato, slide, and others; the second level comprises seven categories: trill\short\up, trill\long, staccato, slide up, slide\legato, slide\down, and others; the third level consists of 11 categories, representing the 11 playing techniques described earlier. Although it also employs a three-level label system, the higher-level labels do not exhibit complete downward compatibility with the lower-level labels. Therefore, we cannot merge these three-level labels into the same split but must treat them as three separate subsets.

Supported Tasks and Leaderboards

Erhu Playing Technique Classification

Languages

Chinese, English

Usage

4-class

from datasets import load_dataset

dataset = load_dataset("ccmusic-database/erhu_playing_tech", name="4_classes")
for item in ds["train"]:
    print(item)

for item in ds["validation"]:
    print(item)

for item in ds["test"]:
    print(item)

7-class

from datasets import load_dataset

ds = load_dataset("ccmusic-database/erhu_playing_tech", name="7_classes")
for item in ds["train"]:
    print(item)

for item in ds["validation"]:
    print(item)

for item in ds["test"]:
    print(item)

11-class

from datasets import load_dataset

ds = load_dataset("ccmusic-database/erhu_playing_tech", name="11_classes")
for item in ds["train"]:
    print(item)

for item in ds["validation"]:
    print(item)

for item in ds["test"]:
    print(item)

Maintenance

GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/ccmusic-database/erhu_playing_tech
cd erhu_playing_tech

Dataset Structure

audio(.wav, 44100Hz)	mel(.jpg, 44100Hz)	label
		4/7/11-class
...	...	...

Data Instances

.zip(.wav, .jpg)

Data Fields

+ detache 分弓 (72)
  + forte (8)
  + medium (8)
  + piano (56)
+ diangong 垫弓 (28)
+ harmonic 泛音 (18)
  + natural 自然泛音 (6)
  + artificial 人工泛音 (12)
+ legato&slide&glissando 连弓&滑音&大滑音 (114)
  + glissando_down 大滑音 下行 (4)
  + glissando_up 大滑音 上行 (4)
  + huihuayin_down 下回滑音 (18)
  + huihuayin_long_down 后下回滑音 (12)
  + legato&slide_up 向上连弓 包含滑音 (24)
    + forte (8)
    + medium (8)
    + piano (8)
  + slide_dianzhi 垫指滑音 (4)
  + slide_down 向下滑音 (16)
  + slide_legato 连线滑音 (16)
  + slide_up 向上滑音 (16)
+ percussive 打击类音效 (21)
  + dajigong 大击弓 (11)
  + horse 马嘶 (2)
  + stick 敲击弓 (8)
+ pizzicato 拨弦 (96)
  + forte (30)
  + medium (29)
  + piano (30)
  + left 左手勾弦 (6)
+ ricochet 抛弓 (36)
+ staccato 顿弓 (141)
  + forte (47)
  + medium (46)
  + piano (48)
+ tremolo 颤弓 （144）
  + forte (48)
  + medium (48)
  + piano (48)
+ trill 颤音 (202)
  + long 长颤音 (141)
    + forte (46)
    + medium (47)
    + piano (48)
  + short 短颤音 (61)
    + down 下颤音 (30)
    + up 上颤音 (31)
+ vibrato 揉弦 (56)
  + late (13)
  + press 压揉 (6)
  + roll 滚揉 (28)
  + slide 滑揉 (9)

Data Splits

train, validation, test

Dataset Creation

Curation Rationale

Lack of a dataset for Erhu playing tech

Source Data

Initial Data Collection and Normalization

Zhaorui Liu, Monan Zhou

Who are the source language producers?

Students from CCMUSIC

Annotations

Annotation process

This dataset is an audio dataset containing 927 audio clips recorded by the China Conservatory of Music, each with a performance technique of erhu.

Who are the annotators?

Students from CCMUSIC

Personal and Sensitive Information

None

Considerations for Using the Data

Social Impact of Dataset

Advancing the Digitization Process of Traditional Chinese Instruments

Discussion of Biases

Only for Erhu

Other Known Limitations

Not Specific Enough in Categorization

Additional Information

Dataset Curators

Zijin Li

Evaluation

Wang, Zehao et al. “Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an Example.” ArXiv abs/1910.09021 (2019): n. pag.

Licensing Information

MIT License

Copyright (c) CCMUSIC

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Citation Information

@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 and General Music Information Retrieval Research},
  month        = {mar},
  year         = {2024},
  publisher    = {HuggingFace},
  version      = {1.2},
  url          = {https://huggingface.co/ccmusic-database}
}

Contributions

Provide a dataset for Erhu playing tech