Mubert is a website with an endless music playlist that is uniquely catered to each listener, showing them new music that they certainly haven't heard before. But rather than using a taste-assessment algorithm that curates existing music, such as a service like Spotify does, Mubert takes the concept further by composing original music in real-time.
The Mubert site can create electronic music on the spot thanks to its melody algorithm. There are six different electronic genres that Mubert can play -- ambient, deep house, liquid funk, chillstep, psytrance and trap.
The Mubert service itself will naturally only be appealing to fans of electronic music, but if more sites choose to adopt similar algorithms for even more genres, online music streaming -- and the music industry in general -- could experience a sea of change.
Real-Time Music Generation Sites
Mubert Creates Original Electronic Music for Each and Every User
Trend Themes
1. Real-time Music Generation - Disruptive innovation opportunity: Develop a platform that uses real-time music generation algorithms for various genres, expanding the market beyond electronic music.
2. Personalized Music Streaming - Disruptive innovation opportunity: Create a streaming service that offers personalized music playlists composed in real-time, catering to the unique taste of each listener.
3. Algorithmic Music Composition - Disruptive innovation opportunity: Explore the use of algorithmic composition techniques to automate the creation of original music across different genres.
Industry Implications
1. Music Streaming - Disruptive innovation opportunity: Integrate real-time music generation algorithms into existing music streaming platforms to offer a personalized and dynamic listening experience.
2. Music Production - Disruptive innovation opportunity: Develop software tools that leverage algorithmic music composition to streamline the process of creating original music in various genres.
3. Artificial Intelligence - Disruptive innovation opportunity: Apply artificial intelligence techniques in music generation algorithms to create truly unique and customized music experiences for users.