Abstract :
Today, where people carry thousands of songs in their MP3 players or role-play as rock stars via video games, AI stands poised to transform how we interact with music in even more dramatic ways. This paper shows the development of software applications that rely on AI tools such as machine learning and Markovian analysis are providing new ways to analyze music, arrange playlists, and even devise customized accompaniments to user-created melodies.
Keywords :
artificial intelligence; music; user interfaces; AI tools; MP3 players; Markovian analysis; artificial intelligence; machine learning; music analysis; user-created melodies; Application software; Artificial intelligence; Bioinformatics; Genomics; Humans; Information analysis; Intelligent networks; Intelligent systems; Learning systems; Libraries; MusicBox; Pandora; REST; Visualizing Music; accompaniment; artificial intelligence; composition; malicious; multi-agent; music; network; neural; security; software; virus;
