The thought of artificial intelligence being capable of creating music is quite daunting to many, myself included. However, the progression of AI software in music production over recent years has turned it from a chilling novelty into a credible instrument producers actively use to enhance their creative process. This poses an intriguing question: could there be a day when artificial intelligence supersedes human musicians? Here is how AI-generated music is changing the way hits are made:
Transforming Production
The advancement and affordability of technology have progressively made it more straightforward to create music that sounds professional. For those budding artists who have the means to purchase Apple products, they can begin experimenting with production on Drumloop AI, or acquire “type beats” online and record vocals with a mobile phone. Yet, the growing popularity of AI-powered technology is further demolishing the already thin barrier between common people and musicians.
Streaming Music
This strategy evaluates millions of individuals’ musical preferences and listening habits, offering a means of detection. It is proficient in identifying trends in numerous classical compositions. Discover Weekly, a feature on Spotify powered by AI, generates a weekly playlist for each user based on their preferred artists and listening habits.
Spotify recommends music based on your interaction with different artists and tracks, the frequency of repeating certain songs, among other factors. The key aspect is that it simultaneously examines millions of users, which lets you discover who else is listening to similar playlists.
Pitch Records
Many songwriters and publishers leverage AI voice synthesis technology in their creative process. This innovative tool assists them in presenting their songs to leading artists. In the current music industry, it’s becoming increasingly challenging to get “pitch records”, tracks crafted solely by professional songwriters and then offered to artists for recording – accepted. This is largely due to artists desiring greater involvement in the songwriting process.
To navigate this, tech-savvy publishers and writers use AI voice technology to glimpse what the final product might sound like with the artist’s voice, even before they step into the recording booth.
While the technology is not yet widespread, advocates argue that it offers a cost-effective and accurate alternative to the traditional approach of hiring demo singers who can mimic popular artists’ voices. On the other hand, critics express concerns that this technological advancement could reduce job opportunities for these demo singers. Additionally, replicating their voice by AI could be off-putting for some artists.
Streaming Quality
Enhancing streaming quality is essential for maintaining viewer satisfaction. It’s critically important because if the user interface falls short of the viewer’s preferences, they might stop watching and even unsubscribe from the streaming service altogether.
This concept also applies to websites. If users find the website’s front end unappealing or hard to navigate, they will likely leave and look for other options. Among other strategies, Netflix leverages machine learning (ML) to routinely update its front-end, back-end, and interface to sustain customer loyalty. This commitment to excellent streaming quality was key to Netflix’s early success.
Endnote
AI is revolutionizing the music sector. To begin with, musicians can employ artificial intelligence to experiment with fresh styles and enhance their current ones. They can also perfect and release their work without pouring a fortune into studio time, costly gear, and renowned producers. AI has bestowed upon them the liberty to create at their own speed.
