Comparative Review of Music Content Management Software in Terms of Information Retrieval Features in the Web Environment

The current research was conducted with the aim of comparative evaluation of music recognition software in terms of musical information retrieval capabilities.

This research was an applied descriptive type and the method of doing survey-descriptive evaluative research using a cheklist. The statistical population of this research included 180 pieces of music in the two sections of Iranian music and international music, which Iranian music in four traditional, pop, orchestral and local formats, each of these four formats in two ways, with words and without words, and international music in four formats. Classical, pop, electronic and newage were reviewed. The data collection tool was a researcher-made checklist. The collected data were analyzed using descriptive statistics methods of Wilcoxon and Friedman.

According to the findings of the research, Shazam software was ranked first in 5 components (response speed, accuracy in retrieving music pieces, title and similar) in various Iranian and international music formats with 36 points along with Sundhound software and Navahang software with 26 points ranked last. In terms of facilities and search capabilities and information retrieval standards, all five software had the same performance. Shazam software has performed better than other software in both Iranian and international music and in most formats of spoken and wordless music. also results showed that in the discussion of music without words, the results were weaker compared to music with words.

Coclusion: 

Due to the increase in the volume of music productions, both spoken and written, and the lack of correct and accurate bibliographic information and content, it is necessary to pay attention to the software in this field. Also, the attention and use of software for identifying and retrieving musical information based on Farsi content requires serious attention.