NDLI: Large corpus of Iranian music

Content Provider	IEEE Xplore Digital Library
Author	Shirali-Shahreza, M.H. Shirali-Shahreza, S.
Copyright Year	2009
Description	Author affiliation: Computer Engineering Department, Sharif University of Technology, Iran (Shirali-Shahreza, S.) \|\| Virtual Education Graduate College, Amirkabir University of Technology, Iran (Shirali-Shahreza, M.H.)
Abstract	Digital music is now widely used and a great number of digital music files are available on the Internet. Designing systems that can automatically index, search and retrieve the digital music is one of the active research fields. One of the requirements for design and evaluation of such systems is corpuses of digital music samples. A good corpus is expected to have a number of features such as including a great number of samples, have samples of different artists and also samples with different quality. Additionally, the regional music of different parts of the world uses local musical instruments which results in music that are acoustically different. So, corpuses of regional music are needed for design and evaluation of web scale systems. Considering the above reasons, we created a large corpus of Iranian music. In this paper, we review available public music corpuses and then describe our corpus. Our corpus contains 27496 music tracks of 1355 artists that gathered from the Internet. The lyrics for more than 54% of tracks are also provided. We analyze the different aspects of collected tracks such as their bit rate and sampling rate which are helpful in designing large scale systems.
Starting Page	568
Ending Page	573
File Size	433442
Page Count	6
File Format	PDF
ISBN	9781424459490
e-ISBN	9781424459506
DOI	10.1109/ISSPIT.2009.5407527
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Music information retrieval Indexing Recommender systems Internet Mel frequency cepstral coefficient System testing Databases Mobile handsets Search engines Educational institutions Music Track Corpus Diversity Iranian Music Mel Frequency Cepstral Coefficients (MFCC)
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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