AI comes into Art

AI in Music

The importance and popularity of AI in music have increased significantly in recent years. In essence, music is a collection of notes which can be analyzed and understood by AI algorithms. So it comes as no surprise that scientists have made significant progress in the field of artificial intelligence for music. Google’s Project Magenta was initially widely recognized by the AI community when it was launched in the summer of 2016. A convolutional neural network fills in the gaps in a piece of music using Coconet, the AI model used in this project. The team used 306 pieces written by Bach to train the AI model. It’s capable of filling in the gaps in Bach’s music pieces containing randomly erased segments, with AI-generated music in Bach’s style.

Let’s look at the leading AI companies in Arts.

• The Amper tool leverages the power of artificial intelligence to produce music for games, media, etc. The tool uses the sample library and datasets in its library to create new music. Amper was the most popular music production tool before Shutterstock. Shutterstock overtook Amper in late 2020 and is now one of the largest producers of content for creators.
• The AIVA is the most prominent AI music application. AIVA specializes in classical music production and produces custom music pieces for clients like Nvidia, and TED. The platform’s core consists of deep learning algorithms, trained on classical music.
• The Loudly is a music production company in Berlin. Their platform can rewrite music pieces or generate custom music pieces using GAN deep learning algorithms.

Artificial intelligence has also been widely used for song recommendation. Recommender systems powered by data science and machine learning can suggest new music tracks based on the listener’s interests to create a varied and enjoyable listening experience.