google magenta
Google Magenta's Lo-Fi Player lets you create your own virtual music room
A new Google Magenta project (created by an intern!) lets you mix lo-fi, hip-hop music tracks to build a custom music room in your browser, with no musical ability required. Magenta is designed to use Google's machine learning systems for the creation of art and music, and the Lo-Fi Player is a fun example of what it can do. When you open Lo-Fi Player, you're taken to a pixellated virtual "room" where you click different objects -- a clock, a cat, or a piano, for instance-- in the room to change the different tracks, like the bass line and the melody. "The view outside the window relates to the background sound in the track, and you can change both the visual and the music by clicking on the window," Lo-Fi Player creator Vibert Thio wrote in a blog post. Thio writes that the team chose the format of a music-generating room rather than a composition tool or musical instrument because it's "a popular genre with a relatively simple music structure."
Google Magenta's Lo-Fi Player is an AI-based virtual music studio
Lo-Fi Player, a new project out of Google Magenta, wants to help people play around with music creation -- no experience necessary. Lo-Fi Player is a pixelated, 2D virtual room that runs in a web browser. It lets you mix lo-fi hip hop tracks by clicking on different objects in the room, and it uses machine learning to give the tracks a little finesse. Once you have clicked around on everything from the guitars to the window, plants and desk and generated sounds you like, you can share your Lo-Fi Player room with friends. If you click the radio or TV, you'll trigger machine-learning models that produce a few new melodies, and you can click the green ceiling lamp to stop and start the music.
Making Sense of Sound: What Does Machine Learning Mean for Music?
AI has proven to have a considerable impact on some major industries. While autonomous cars and virtual assistants are slowly becoming a reality, the creative industry has been experimenting with AI for several years already. Does it have meaningful implications and if so, what will it bring in the future? It's universally agreed that the first computer-assisted music score dates back to 1957 when composers Lejaren Hiller and Leonard Isaacson unveiled Illiac Suite for string quartet. Utilizing the interconnection between mathematics and music, Hiller was able to program the computer to come up with a stunning four-piece musical score. One of the most notable AI-assisted music projects happened two years ago.