Artificial intelligence (AI) is not only changing the way we interact with technology, but also the way we create and consume music. From composing to mixing to mastering, AI is revolutionizing the music industry in various ways. Here are some of the examples of how AI is transforming the music industry.
AI Composers and Producers
One of the most fascinating applications of AI in music is the ability to generate original compositions and produce high-quality tracks. AI composers and producers use deep learning algorithms to analyze large datasets of music and learn the patterns, styles, and preferences of different genres, artists, and listeners. They can then create new music based on these inputs, or enhance existing music with AI-generated elements.
Some of the examples of AI composers and producers are:
AIVA: AIVA is an AI that composes music for films, games, and commercials. It has been recognized by the SACEM as a composer, and has collaborated with famous artists such as Hans Zimmer and Rachel Portman.
Amper Music: Amper Music is an AI that produces music for content creators. It allows users to customize the mood, style, and duration of the music, and then generates a unique track in seconds.
Boomy: Boomy is an AI that helps anyone create and share music. It enables users to generate songs with just a few clicks, and then publish them on streaming platforms like Spotify and Apple Music.
AI Assistants and Tools
Another way that AI is transforming the music industry is by providing assistance and tools for musicians, producers, and engineers. AI assistants and tools can help with various tasks such as tuning, mixing, mastering, and distribution. They can also provide feedback, suggestions, and insights to improve the quality and performance of the music.
Some of the examples of AI assistants and tools are:
LANDR: LANDR is an AI that masters music automatically. It uses machine learning to analyze the music and apply the best settings for each track. It also offers distribution, promotion, and collaboration services for musicians.
Cryo Mix: Cryo Mix is an AI that mixes music automatically. It uses deep neural networks to balance the levels, EQ, and compression of each track. It also offers presets, templates, and tutorials for users to learn and improve their mixing skills.
Spleeter: Spleeter is an AI that separates music into different stems. It uses source separation algorithms to isolate the vocals, drums, bass, and other instruments from a song. It can also create acapellas, instrumentals, and remixes.
AI Listeners and Curators
A third way that AI is transforming the music industry is by providing listeners and curators for music fans. AI listeners and curators can help with discovering new music, creating personalized playlists, and enhancing the listening experience. They can also provide recommendations, reviews, and analytics for music lovers.
Some of the examples of AI listeners and curators are:
Spotify: Spotify is a streaming platform that uses AI to personalize and optimize the music experience. It uses machine learning to analyze the music preferences, behaviors, and contexts of each user, and then creates tailored playlists, radios, and podcasts for them.
Shazam: Shazam is an app that uses AI to identify and discover music. It uses audio fingerprinting and recognition algorithms to match the sound of a song to its database of millions of tracks. It also provides information, lyrics, and links to the song.
SoundHound: SoundHound is an app that uses AI to search and explore music. It uses natural language processing and understanding to interpret the voice queries of the user, and then provides relevant results, insights, and actions for the music.
