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How AI is Changing the Way We Discover and Create Music

Music is one of the most universal forms of expression and entertainment, but it is also a highly competitive and dynamic industry. With millions of songs available on streaming platforms, how can artists and listeners find the music they love and create the music they want?

- Based on an article by Max Hilsdorf on Towards Data Science on August 22, 2023

Traditionally, music discovery has relied on search engines, recommendation systems, playlists, and social media. These methods use data analysis, machine learning, and natural language processing to match songs with users’ preferences, moods, and contexts. However, these methods have some limitations, such as bias, oversaturation, and lack of diversity.

A new trend in music discovery is generation, which uses artificial intelligence (AI) to create original music or remix existing songs. Generation methods use deep learning, generative adversarial networks, and neural style transfer to produce music that is novel, diverse, and personalized. Some examples of generation platforms are Jukebox, Amper Music, and Ecrett Music.

Music generation is not only a tool for discovery, but also for creation. Artists can use AI to enhance their creativity, experiment with different styles, and collaborate with other musicians. Listeners can also use AI to generate their own music, express their emotions, and share their creations with others.

A search algorithm is a solution to a search problem. A search problem exists when a user wants to retrieve a piece of information or an object like a video or a song from a database. Let’s call the user’s request the query and the result of the search the response.

Music discovery and generation are two sides of the same coin: they both aim to connect people with music that resonates with them. AI is a powerful technology that can facilitate this connection, but it also poses some challenges, such as ethical, legal, and social implications. How will AI affect the music industry, the role of human musicians, and the value of music? These are some of the questions that need to be explored as AI continues to transform the musical landscape.

To read more about this topic, you can visit the original article here.


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