As of June 2020, households spend an average of 54 minutes each day listening to music through streaming platforms, according to Comscore. With technology so intertwined with the progress and consumption of music, it isn’t surprising to note that there are more advancements made in recent months. More focus has been put on the utilization of Artificial Intelligence (AI) and other software to supplement music learning and copyright.
Spotify’s Anti-Plagiarism AI
The music streaming giant, Spotify, recently filed a patent for what they called their “Plagiarism Risk Detector and Interface”. They claim that this AI would be able to detect plagiarism within a musician’s lead sheets. Spotify says that established and budding musicians will be able to feed their music into their plagiarism detector to ensure that their lyrics, melodies, harmonies, and compositions are unique. The information is then run through Spotify’s vast music library and a report is given back if there are any hits in the system. This helps protect artists from potential litigation by allowing them to check their music before publishing it.
ASU’s New Recording Tech For Lessons
Technology has progressed enough to allow learning music through online channels and programs. So naturally, the technologies to further enhance learning music are being developed. Arizona State University (ASU) is equipping its students with the know-how to fully utilize collaborative recording software by integrating it into their curriculum. ASU music students are now taught to use the new music software BandLab to collaborate on musical arrangements. ASU’s goal is to normalize the use of musical technologies in their music lessons so that their students are familiar with them, so when other software is released, they have a stronger knowledge of how it works and how it can enhance their musical creations. Clinical Associate Profession, Joshua Gardner, says that the integration of new musical technology gives the music students of today a better edge than those that had to learn them independently.
Musiio’s Hit Potential Algorithm
The CEO and co-founder of Musiio, Hazel Savage, posed the question “what if data could be used to find the next new hit?”. She referred to the success of hit-singer Lewis Capaldi, who was discovered by the physical efforts of Ryan Walter. Walter spent six months actively listening to music bites and chanced upon Capaldi. Savage’s Musiio is developing AI called the “Hit Potential Algorithm” to actively listen to uploaded music and use data to find the next big hit. This gives unknown artists the incentive to keep producing music in the hope that Musiio’s algorithm picks it up from the millions of songs around the world. This technology will also free up managers and music labels from having to physically spend days and months locked in the task of listening to samples and submissions.
Music is almost like a living thing in the sense that it moves and evolves. So, too, must the tools that are used by those that love and live in music. It will certainly be fascinating to see what other technological advances will be made to help the march of music technology in the months and years to come.