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Introduction to Modern AI: Definition and History of the Music Tag

Modern AI in music refers to the integration of advanced artificial intelligence technologies in the creation, composition, production, and performance of music. This genre or tag encompasses works that are either entirely generated by AI, co-created by AI and humans, or heavily influenced by AI-assisted tools and processes. The history of Modern AI music can be traced back to the early experiments with algorithmic composition in the mid-20th century. However, it wasn’t until the 2010s—with the advent of deep learning, neural networks, and generative adversarial networks (GANs)—that Modern AI music began to mature into a recognizable and influential category. Companies like OpenAI (with Jukebox), Sony CSL, and Google Magenta played key roles in pioneering AI-generated music systems. Today, Modern AI music represents a paradigm shift in music creation, where creativity is increasingly shared between humans and machines.

Sub-tags and Classifications of Modern AI Music

• AI-Generated Music

  This sub-tag includes compositionsModern AI Music Tag that are entirely generated by artificial intelligence without direct human input. These works are often created using neural networks trained on large datasets of musical styles and genres.

• AI-Assisted Composition

  Refers to music created collaboratively by human composers and AI tools. The AI suggests melodies, harmonies, rhythms, or lyrics that the human artist can refine or integrate, bridging traditional creativity with computational intelligence.

• Neural Network Synthpop

  A modern sub-genre of synthpop where synthetic vocals, rhythms, and harmonies are generated or enhanced by deep learning models, producing a futuristic and often surreal soundscape.

• Generative Soundscapes

  This classification focuses on ambient and experimental music that continuously evolves using generative AI models. These works are ideal for background environments, meditation, and dynamic sound installations.

• Voice AI and Virtual Performers

  Music under this sub-tag features AI-generated or AI-enhanced vocals. It includes virtual singers and performers whose voices are synthesized using text-to-speech or singing voice synthesis models.

Famous Artists and Works Related to the Modern AI Tag

• Holly Herndon

  A pioneer in integrating AI with experimental music, Holly Herndon is known for her collaboration with 'Spawn', an AI baby trained on her voice. Her album 'PROTO' showcases the seamless blend of human and AI-generated vocals and textures.

  PROTO – Holly Herndon

  An iconic example of Modern AI music, 'PROTO' combines the voices of humans and a vocal deep learning AI called Spawn. The album explores themes of identity, collaboration, and the future of human-machine music interaction.

• Taryn Southern

  One of the first pop artists to release a full-length album composed with AI tools. Her work on 'I AM AI' exemplifies how mainstream pop can be influenced by AI technologies like Amper Music and IBM Watson.

  I AM AI – Taryn Southern

  A pioneering album that features pop music co-written and co-produced with AI tools like Amper and IBM Watson. It demonstrates how accessible AI music creation can empower independent artists.

• DADABOTS

  A duo using neural networks to create continuous music streams in genres such as death metal and black metal. Their AI models like 'Relentless Doppelgänger' demonstrate the genre-bending capabilities of Modern AI music.

  Relentless Doppelgänger – DADABOTS

  An endless death metal livestream generated by a neural network. This work pushed boundaries in Modern AI by proving that machine learning can emulate complex, niche genres in real time.

• YACHT

  The band YACHT used machine learning to analyze their past music and lyrics to help compose their Grammy-nominated album 'Chain Tripping'. They represent a unique form of AI-assisted creativity in indie and pop genres.

  Chain Tripping – YACHT

  This Grammy-nominated album was created by analyzing the band’s discography using AI and reimagining their style through algorithmic recomposition. It showcases the synergy between past creative data and new AI interpretations.

Application Scenarios of Modern AI Music

• Modern AI music is increasingly used to generate background scores for films and television shows, especially in sci-fi, thriller, and experimental genres. AI can quickly produce mood-specific compositions that adapt to scene dynamics.

• AI-generated music is ideal for creating short, engaging audio clips tailored for brand identity. Companies use Modern AI to produce jingles and background scores that align with marketing campaigns.

• Dynamic and adaptive soundtracks in games are now being composed by AI systems that respond to gameplay in real time, enhancing immersion through procedurally generated music cues.

• Modern AI music is a staple in interactive museum exhibits and installations, where generative algorithms create evolving soundscapes that respond to audience movement, environmental data, or real-time input.

• AI-generated ambient music is used in meditation, mindfulness, and sleep apps to produce calming, non-repetitive soundscapes. These adaptive compositions cater to individual user patterns and preferences.