Eps 1371: Music Generated Entirely by Artificial Intelligence is the Future of the Industry

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Gertrude Boyd

Gertrude Boyd

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Spotifys artificial intelligence is constantly being improved to collect as much audio data as possible, perform comparative analyses with other users, and use the results to suggest new music. Music production tools that allow users to create beats and write lyrics that have little or no musical experience have been trained to analyze millions of songs. AI is a broad field of computer science that allows machines to mimic humans in learning problem solving skills through a process known as machine learning, in which patterns are internalized in melodies and harmonies to create new music in a similar style. Most major brands currently use machine learning to analyze songs, artists and albums that users play over time to find out what they like, while others use recommendations from actual musicians and music editors to create weekly playlists and suggest similar tracks.
Artificial intelligence is changing the way artists think about music production and predicts advanced ways for creative musicians to work with machines. Innovative companies use artificial intelligence to drive personalized music services and product development - for example, an AI music company called Musicinyouai offers to create personalized and unique AI-generated music compositions based on your unique personality traits and characteristics. Many composers work with AI in the hope that it will become a democratizing force and a key part of everyday musical creation.
AI music-making software has evolved in recent years so much that the idea of artificial intelligence to compose music is no longer a frightening novelty, but a viable tool producers can use to support the creative process. In what many see as a ground-breaking tool at their disposal, artificial intelligence partners can improve music making by leveling the playing field and enabling artists to experiment with music in a way that would have required collaboration in the past with multiple technical and musical collaborators and huge budgets. I went to L.A. in the second episode of The Future of Music with Me and visited the offices of the AI platform Amper Music, the home of Taryn Southern, a pop artist who collaborated with Amper and other AI platforms to produce her debut album with AI.
Sound artist and producer Brian Eno, who has worked with David Bowie and David Byrne has coined the term "generative music" while working in the 1990s with algorithmic AI technology. In 2017, American Idol alum Taryn Southern I am AI released a music album composed by an AI composition program on Amper Music that uses internal algorithms to produce tunes that blend certain moods and genres. YouTube star Southern, who already has over 700 million views, published the first album entirely composed and produced by AI, which included AIVA, Amper, IBM's Watson Beat and Google Magenta.
Brian Eno, the sound artist and producer who worked with David Bowie and David Byrne before coining the term generative music, has composed a number of albums that use music programming and ambient music-generating applications of landscape technology but Amper is different. Amper, an artificial intelligence music composition software, was founded in 2014 by a group of engineers and musicians in New York and is one of dozens of start-ups that use artificial intelligence to break away from the traditional way of music making. Amper co-founder and CEO Drew Silverstein says the goal is not to replace human composers, but to work with them to achieve their goals.
A key brand differentiation for music streaming platforms uses G algorithms based on AI engines and machine learning to create seamless experiences for users in a highly competitive market. Mubert's AI-based Generative Music service provides a complete infrastructure that musicians can benefit from: tools to create and monetize their patterns, labels to share royalties with their artists and sample distributors to give their sample databases new business models. Music generating technology like Amper Music uses Taryn from IBM Watson Beat and Google Magenta's NSynth Super to read and interpret audio samples and MIDI files to create something new.
The concept of machines composing music has been around since the 19th century, with computer pioneer Ada Lovelace one of the first to write about it, and it has become a reality in the last decade, when musicians like Francois Pachet created entire albums co-written by AI. Given that I work in the Big Data industry, it is only natural that this thought should lead me to question the nature of humankind and music itself and how it will be changed in the years to come by artificial intelligence . AMPER is developed by a team of professional musicians and technologists and is the first artificial intelligence to compose and produce a complete music album.
According to musicologists and technologists CJ Carr and Zack Zukowski who have been experimenting with artificial intelligence to create recognizable music in different music genres for years, the algorithm has produced some decent music in the metal music genre but it did not need corrections so they decided to let the AI try to compose a track live on YouTube. The creative process involved giving information such as song length, tempo, and key to YouTube personality Taryn Southern and allowing a program called Amper, an open-source AI music composer and producer, to do the actual composing and production of the songs, with Southern rearranging the various parts Amper provided to create a more structured one. Pop artists say they experimented with AI two years ago and have been using Amper as software to create artificial intelligence ever since.
To enable soundtracks produced by artificial intelligence music engines and platforms, users can create music from scratch, and these soundtracks can be used to produce variations on existing songs.