Written by Seoyoon Chang
With the use of AI, our everyday lives are adapting to a range of new benefits; robots at home and the workplace, virtual assistants, drones, and security. We could not have the same access to technology now a few decades ago. This is still the beginning of AI, and the developments will continue to advance. Take a look at Siri, for example, which can communicate with the speaker and automatically search for topics related to the speaker’s requests. AI can compose music in various genres; pop, classics, orchestral, and many more which a similar quality to “actual” music. All of these developments have been leading to many different questions, and especially one to be significant in the long run: will AI be the future of music? Whether it is facial recognition or the newly-applied VAR system in official football matches, it is made possible with the foundations of AI. Music can be generated with AI, and anyone can earn the hands-on experience with Amper Music, which automatically generates music based on personal preferences or IBM Watson Beat, which develops music through an advanced machine learning system. Not only does AI and machine learning compose music at a very fast pace, but it can also improve on composing music by itself. With a platform visible for everyone and an easy-to-use tool, AI music tools can definitely come in handy for any music composer. If high-quality music can be generated with AI without users having to spend a lot of time on music manipulation, then what is the use of having an artist manually compose music? It is mentioned in Fortune that in the next decade, “between 20% and 30% of the top 40 singles will be written partially or totally with machine-learning software”. This, however, does not mean that AI will take over the tradition of musicians composing music. Amper Music states that their AI “doesn’t compose music for you, it composes with you,”; the purpose of their system is to provide assistance in composing music. Following the optimism of AI generating music, AIVA, an Artificial Intelligence which composes emotional soundtracks for entertainment, is acknowledged as the world’s first non-human to be officially recognized as a Composer. By composing creative, emotional, and unique music, AI is becoming a popular tool in the music industry. Taryn Southern, an American singer who has been the first to create an entire album with AI, uses software such as Amper Music and Watson Beat to assist her songwriting. In addition, Watson Beat has helped Alex Da Kid, a songwriter, for his song “Not Easy” to reach the Billboard charts. Perhaps one of AI’s greatest achievements in music is the “Symphonologie”, a symphony from Accenture created with artificial intelligence systems, technologists, and musicians. Mark Knickrehm, the Group Chief Executive of Accenture, states in CBS News that he views the symphony as a “concrete example of how A.I. could be used by Accenture clients in fields ranging from health care to business”. With AI being applied in various styles of music within the field, there is no doubt AI can change the way music is composed. Through the use of AI in composing music, many discovered the uniqueness of how music is generated. Daren Banarsë, an Irish composer and artist, states in a PC Magazine article that music generated by Folk-RNN had some “interesting mistakes”: “The melody kept oscillating between major and minor, in a somewhat random fashion. Stylistically, it was incorrect, but it was quirky, something I wouldn’t have thought of myself,”. Technology’s creativity challenges the concept of “art” with different tunes, rhythm, and structure. With companies such as AI Music which challenge music to go one step further into a futuristic area, AI has the potential skill to change the quality of popular songs we know today. Although many people including artists can be concerned about AI’s approach towards the music industry, it has been clearly communicated between AI-based music companies that their AI is there to support users in creating music. AI is improving at a speedful rate through training neural networks and by using deep learning algorithms. As we are developing into a world of new and diverse technology, the future of music is definitely something to be looking forward to. SOURCES:
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