Shazam Music Identification Service – Case Study
Shazam Music Identification Service – Case Study
CMGT/557
December 23, 2013
Table of Contents
Table of Figures
Shazam Music Identification Service Music is playing an active role in people’s life; individuals are regularly exposed to music in various venues: driving, dining, or even swimming. According to Music Reports (2013), 90% of music content is stored in a digital medium. 60% is offered online through music services such as, iTunes, Spotify, and Shazam. The music services offer the music data through content aggregators such as, Catpult, CDBaby, Tunecore and The Orchard. One of the main challenges music content providers is facing today is maximizing their return of investment. It consists of two main components, legal rights for maintain, manage, and distribute the content. The second component is the store, search, discovery and maintenance aspects of the digital media on a cloud based service. Content monetization strategy is one of the ways to increase the return of investment. This approach includes advanced search capabilities that will maximize the search efficiency. Moreover, it will help content providers to predict what content or other properties to promote. Music like any other textual content includes properties also known as Tags that help search engines to classify the searched item. Shazam is a music service provider that enables music identification method by audio search rather than textual search. Audio-based identification process is based on emerged identification technology, acoustic-similarity method (Wang, 2006). Although the technology theory is in use almost 10 years, it was proved as an effective method only recently. The growing amount of music content enriched the index the acoustic-similarity method is based on, which allows it to be effective. The following paper will review the history of Shazam and the technology its service use. It will discuss how unique is Shazam among the
CMGT/557
December 23, 2013
Table of Contents
Table of Figures
Shazam Music Identification Service Music is playing an active role in people’s life; individuals are regularly exposed to music in various venues: driving, dining, or even swimming. According to Music Reports (2013), 90% of music content is stored in a digital medium. 60% is offered online through music services such as, iTunes, Spotify, and Shazam. The music services offer the music data through content aggregators such as, Catpult, CDBaby, Tunecore and The Orchard. One of the main challenges music content providers is facing today is maximizing their return of investment. It consists of two main components, legal rights for maintain, manage, and distribute the content. The second component is the store, search, discovery and maintenance aspects of the digital media on a cloud based service. Content monetization strategy is one of the ways to increase the return of investment. This approach includes advanced search capabilities that will maximize the search efficiency. Moreover, it will help content providers to predict what content or other properties to promote. Music like any other textual content includes properties also known as Tags that help search engines to classify the searched item. Shazam is a music service provider that enables music identification method by audio search rather than textual search. Audio-based identification process is based on emerged identification technology, acoustic-similarity method (Wang, 2006). Although the technology theory is in use almost 10 years, it was proved as an effective method only recently. The growing amount of music content enriched the index the acoustic-similarity method is based on, which allows it to be effective. The following paper will review the history of Shazam and the technology its service use. It will discuss how unique is Shazam among the
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