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Machine learning is set to be a game changing influence on the music sector

The music industry has evolved exponentially over the past 30 years with the manner in which music is heard, purchased, and even produced completely transformed.


From the times when people bought an album by a single artist, the music industry has grown, with people accessing millions of records by several artists. People now prefer to listen to music at their fingertips by having the access to dedicated platforms like Soundcloud, Mixcloud, Spotify, Digital Imported, and also not forgetting social media like Facebook, Google+, Twitter, and Youtube to interact with the music industry. (GHEORGHE, 2020)

Not only in a decade but within the next 2-3 years the music industry will carry the dramatic shift in different areas including AI, music sales, coverage areas, and financial angle.   Machine learning (Pastukhov, 2020) will influence the future of the music sector in-depth and enable thousands of musicians around the world to create high-quality music through mediated composition and Voice Synthesis.   It also enables the production and distribution of the required messages (Ads) at the right time to the right audience. Further, it is allowing musicians to meet their fans more engagingly and thus create more sales.   Voice-mediated music listening and smart speakers allow listeners to listen quickly to the music that matches their immediate mood or choice without manual work of text interface and finding through playlists.   There have been gaps between different media and artistic fields such as music, fashion, and film, now they break down, and in the future, it's going to just ramp up. The music industry is now partnering with various mediums, e.g. gaming companies, fashion houses, cooking shows, music platforms like Amazon music and Apple, and also not forgetting the streaming partners like Netflix began to replace traditional studios. Social media has allowed artists to develop a personal identity and link directly to fans without interference with labels. This suggests the brands are likely to take a more VC-like approach to music management
Social media has allowed artists to develop a personal identity and link directly to fans without interference with labels

The delivery of music in an immediate and immaterial manner was made possible by global internet networks. And with the intense digital uptake and impact generated via online music videos, artists nowadays have to invest in sophisticated shooting equipment, locations, actors, direction, marketing, amongst others. Gone are the days when artists recorded their tracks in studios and released them.

One does not have to look back a decade, within just the last 2-3 years the music industry has undergone a dramatic shift in different areas including leveraging AI, online music sales, geographic outreach, and financial impact.


Machine learning (Pastukhov, 2020) is predicted to influence the future of the music sector, enabling thousands of musicians around the world to create high-quality music via mediated composition and voice synthesis.


It will also enable the production and distribution of the required messages (Ads) in real-time to the targeted audience. Further, it enables superior fan engagement, a higher fan following and creates more opportunities for ancillary sales.


Voice-mediated music listening and smart speakers allow listeners to track music that matches their immediate mood without undertaking text interface or searching playlists.


There have been gaps in different media and how artists in music, fashion, and film, have connected with their fans and audience. This is set to change in the future. The music industry is partnering with various mediums, like gaming companies, fashion houses, cooking shows, music platforms like Amazon music and Apple, and streaming partners like Netflix, to replace traditional studios.


Social media has allowed artists to develop a personal identity and connect directly with fans without interference from labels. Eventually, these individual music brands will end up creating a VC-like approach to music management.


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