The music space in today's world is ever evolving and expanding. With great improvements to today's technology, we have been able to bring out music to the vast majority of today's ever-growing and tech-savvy people. In today's market, the biggest players for music streaming include behemoth corporations like Spotify, Gaana, Apple Music, YouTube Music, and so on and so forth. This also happens to be quite the shift from how music was once listened to. For songs downloaded out of old music databases without the song's metadata in place, and other distribution sites, they oftentimes come without any known metadata, i.e., most of the details with regards to the songs are absent, such as the artist's name, the year it was made, album art, etc. This chapter discusses how data mining, data scraping, and data classification are utilized to help add incomplete metadata to song files without the same, along with the design process, the software development, and research for the same.
TopIntroduction
The Music space int today’s world is ever evolving and expanding. With great improvements to today’s technology, we have been able to bring out music to the vast majority of today’s ever growing and tech savvy people. In today’s market, the biggest players for Music Streaming include behemoth corporations like Spotify, Gaana, Apple Music, YouTube Music and so on and so forth. This also happens to be quite the shift from how music was once listened to. Originally pioneered by the launch of the iPod, music was once brought and downloaded from services such as Apple Music’s iTunes, costing as low as 0.3 cents per song. And even as Music continues to grow away from traditional downloading to streaming, user support has been increasingly harder to get. For songs downloaded out of Old Music Databases, and other distribution sites, they oftentimes come without any known metadata. i.e., Most of the Details with regards to the songs are absent, such as the Artist’s name, the year it was made, Album Art, etc. An Example is shown below.
Figure 1. Example of songs without metadata
As shown in Figure 1, the data such as Artist’s Name, title (Without the presence of Download Hex codes) and others miscellaneous info are not present or are displayed inaccurately. And, since these songs are not aided by the like of Spotify, Apple Music, etc., they would not be rectified on their own. Now on one hand, this can be manually done by the user, but it would take a lot of time and be very resource intensive. Therefore, to avoid the hassle that comes with this shift in the music distribution industry, this chapter details the usage of Data Mining and Machine Learning based Classification of metadata that is scraped and obtained from various popular avenues, the details of which are further discussed in this paper, including the thought process, methodology, planning (with respect to Software Design Specifications) and Overall Implementation along with the Final Outcome. We will also closely observe how one can better generate data via Data Mining, and how generated results can be made more accurate overtime with the option of scalability, and how Machine Learning can achieve the same via simple classification algorithms.
TopMusic metadata refers to the collection of data associated with a song file, including details such as the artist's name, producer, writer, song title, and release date. This information is vital for identifying, organizing, and delivering audio content effectively. The more comprehensive the metadata, the easier it becomes to collect and distribute the royalties generated. Moreover, detailed metadata enhances the listener experience by helping them identify the content and its creators when using music services. However, the significance of metadata extends beyond these aspects.
Digital service providers (DSPs) like Spotify, Apple Music, Amazon Music, and Tidal heavily rely on metadata to suggest similar artists to their listeners. Additionally, metadata assists curators in crafting popular playlists that musicians aspire to be featured in. Lastly, accurate metadata plays a crucial role in allocating master and publishing rights to the rightful owners and facilitating the appropriate distribution of royalties.
In summary, music metadata serves as the backbone for effective management and delivery of audio content, benefiting both creators and consumers in various ways.
The thing about metadata is this: It’s as fundamental to digital music – whether you’re making it, marketing it, or simply enjoying it – as flour is in your bread. (Spotify for artists)