While we would definitely not like to go to a concert where a computer is playing music, yet AI and ML has given us the power to take music to the next level. Dorien Herremans, Assistant Professor, Singapore University of Technology and Design (SUTD), lends her perspectives to People Matters in a candid conversation.
Music and Machine Learning – sounds not so musical? Maybe not. Just like everywhere, Artificial Intelligence has also pervaded the world of music. Spotify, Grooveshark, Pandora, and others can today recommend music based on our listening habits and moods. What does this mean for the music industry? Will AI take away jobs in the industry? Or create new opportunities? In future, will we be going to concerts where a computer is playing music?
These are some of the questions that Dr. Dorien Herremans, Assistant Professor, Singapore University of Technology and Design (SUTD) and a certified instructor for the NVIDIA Deep Learning Institute answers in this interview. Drawing examples from her research that are at the intersection of machine learning and music, Dr. Herremans shares how AI, cloud computing, and many more emerging technologies are radically changing the music industry and how will they impact jobs and skillsets required in this industry.
How are technologies like Machine Learning, AI cloud computing changing the music industry?
The music industry has continuously evolved through the emergence of new technologies. Even before AI, we saw an evolution from listening to music at live performances (in the days before technology), to listening to music at home through LPs, cassette tapes, and digitally recorded CDs. Cloud computing has made it possible for us to stream our favorite music on any type of mobile device, through Bluetooth connected 3D sound systems. What's more, companies like Spotify, Gracenote, Pandora intensely invest in new technologies such as AI, which in turn has allowed them to predict what we will want to listen to at any time of the day. It has allowed them to create new radio stations, on the fly, with music similar to the song we picked out. These sorts of technologies drastically change the way we listen to music.
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