Irmas: A Dataset For Instrument Recognition In Musical Audio Signals

This dataset includes musical audio excerpts with annotations of the predominant instrument(s) present. It was used for the evaluation in the following article:

Bosch, J. J., Janer, J., Fuhrmann, F., & Herrera, P. “A Comparison of Sound Segregation Techniques for Predominant Instrument Recognition in Musical Audio Signals”, in Proc. ISMIR (pp. 559-564), 2012

Please Acknowledge IRMAS in Academic Research

IRMAS is intended to be used for training and testing methods for the automatic recognition of predominant instruments in musical audio. The instruments considered are: cello, clarinet, flute, acoustic guitar, electric guitar, organ, piano, saxophone, trumpet, violin, and human singing voice. This dataset is derived from the one compiled by Ferdinand Fuhrmann in his PhD thesis, with the difference that we provide audio data in stereo format, the annotations in the testing dataset are limited to specific pitched instruments, and there is a different amount and lenght of excerpts.

<strong>Using this dataset</strong>

When IRMAS is used for academic research, we would highly appreciate if scientific publications of works partly based on the IRMAS dataset quote the above publication.

We are interested in knowing if you find our datasets useful! If you use our dataset please email us at [e-mail] and tell us about your research.

https://www.upf.edu/web/mtg/irmas

本数据集包含带有主导乐器标注的音乐音频片段，曾用于下述论文的评估工作：

Bosch, J. J.、Janer, J.、Fuhrmann, F. 与 Herrera, P. 《音乐音频信号中主导乐器识别的声音分离技术对比》，收录于国际音乐信息检索会议（ISMIR）论文集，第559-564页，2012年

学术研究中使用IRMAS（Instrument Recognition in Musical Audio Signals）数据集时，请予以致谢

IRMAS旨在支撑音乐音频中主导乐器自动识别的训练与测试方法研究，所覆盖的乐器包括：大提琴、单簧管、长笛、原声吉他、电吉他、管风琴、钢琴、萨克斯管、小号、小提琴以及人声演唱。本数据集源自费迪南德·富尔曼（Ferdinand Fuhrmann）博士学位论文中汇编的数据集，二者的差异在于：本次提供的音频数据为立体声格式，测试集的标注仅限定于特定有调乐器，且音频片段的数量与长度均存在差异。

**使用本数据集**

当在学术研究中使用IRMAS数据集时，若您的科研成果部分基于IRMAS数据集，我们恳请您在相关学术出版物中引用上述论文。

我们十分关注您是否认为本数据集具备实用价值！若您使用了本数据集，请发送邮件至[e-mail]并告知您的研究方向。

https://www.upf.edu/web/mtg/irmas