(PCMIR) Database

If you used the database, please cite this paper:

Seyed Muhammad Hossein Mousavi, V. B. Surya Prasath and Seyed Muhammad Hassan Mousavi, "Persian Classical Music Instrument Recognition (PCMIR) Using a Novel Persian Music Database" 2019 9th International Conference on Computer and Knowledge Engineering (ICCKE), IEEE, 2019.

or

Mousavi, Seyed Muhammad Hossein, and VB Surya Prasath. "Persian Classical Music Instrument Recognition (PCMIR) Using a Novel Persian Music Database." 2019 9th International Conference on Computer and Knowledge Engineering (ICCKE). IEEE, 2019.

Due to the lack of availability of Persian musical instruments-based databases, we decided to make one. Proposed database contains of 7 main Persian musical instruments: Ney, Tar, Santur, Kamancheh, Tonbak, Ud and Setar classes. Classes consist of 89 to 110 samples; each sample 5-10 seconds. Database is developed with the aid of musicians whom we asked to play and we recorded. Some of the pieces were played in natural places such as rooms and music shops and a few in the music studios.

若您曾使用该数据库，敬请引用以下论文：

Seyed Muhammad Hossein Mousavi, V. B. Surya Prasath, 及 Seyed Muhammad Hassan Mousavi 著，《基于创新波斯音乐数据库的波斯古典音乐乐器识别（PCMIR）》
2019年第9届计算机与知识工程国际会议（ICCKE），IEEE，2019。

或

Mousavi, Seyed Muhammad Hossein, 与 VB Surya Prasath 著，《基于创新波斯音乐数据库的波斯古典音乐乐器识别（PCMIR）》
2019年第9届计算机与知识工程国际会议（ICCKE）。
IEEE，2019。

鉴于波斯音乐乐器数据库的稀缺性，我们决定自行构建一个。所提出的数据库包含7种主要的波斯音乐乐器：奈伊、塔尔、桑图尔、卡曼查、唐巴克、乌德及塞塔尔等类别。各类别包含89至110个样本；每个样本时长为5至10秒。数据库的构建得益于音乐家的协助，我们邀请他们演奏并进行了录音。部分曲目在自然环境中演奏，如房间和音乐商店，而少数则在音乐工作室中进行。