Persian Classical Music Instrument Recognition (PCMIR) Database

Published: 28 February 2020| Version 1 | DOI: 10.17632/bpyxwkv9wj.1
Contributors:
Seyed Muhammad Hossein Mousavi,
Surya Prasath,
Seyed Muhammad Hassan Mousavi

Description

If you used the database, please cite this paper: 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. 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.

Files

Steps to reproduce

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.

Institutions

Bu Ali Sina University

Categories

Music, Signal Processing, Musicology

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