Introduction
The ever-evolving field of Artificial Intelligence (AI) has also dipped its toes in the music sector, be it producing, editing, modifying voices, and designing instruments that have all seen growth in recent years. Many artists have abandoned manual production in favor of utilizing AI in the creation process. AI is altering the way music is made and listened to, from composition applications and mastering platforms to song recognition tools and highly personalized playlists. However, many fear this development and consider it the “death of human creativity”. Let's explore if that’s the case or if the potential future technology still in its infancy, is subjected to abstract speculations.
AI in Music: Abilities and Possibilities
For years, AI has been making an influence on the music industry. For nearly a half-decade, AI-generated mindfulness ambient music, rights-free music production for content creators, and automated mixing and mastering have evolved into a substantial industry.
AI may be utilized to generate new music, creative mashups, robotic voice actors, and vocal exchanges. The landscape in which AI may be employed to build new things is essentially unlimited, and the possibilities are endless, always subject to the limitations imposed by programming or human information provision. AI may also generate lyrics with specified emotionality, invent previously unknown musical genres, and push the frontiers of music. One of the other advantages is that AI-assisted songwriting, with sometimes odd recommendations from the "digital box," has the potential to ease writer's block. Creative blockages are a common problem for writers, and a digital box can help overcome them by supplying new ideas and themes.
The recommendation systems of streaming services are built on AI algorithms. Artificial intelligence, for example, is used to analyze music and its unique properties, discover trends and make personalized music suggestions based on them. AI and Machine Learning have long ago transformed the music industry. Never before has it been so simple to make and listen to enjoyable music. As time has passed, AI has grown, and its applications have become far more diverse.
How can one use AI to make music?
It is possible that the creative bug in you now wants to make music itself with the use of AI. Here are a few AI music generators that take in ideas and give back melodies.
Amper Music is a cloud-based software that uses pre-made samples to create music for games, movies, and podcasts. After generation, it enables for further changes to the keys, tempo, and so on. AIVA supports the creation and editing of a variety of preset and music formats. It was one of the first AI-driven music software, released in 2016. Soundful creates royalty-free background music in response to simple suggestions. More than 50 algorithm templates are provided. Artists, content makers, and brands may all use it. Ecrett Music assists you with creating music by allowing you to select sceneries, moods, genres, and favorite instruments. It has been trained on hundreds of hours of existing music. It also aids in the creation of music without regard for royalties or licensing. Musenet, OpenAI ChatGPT's parent company has also contributed to developing its own music-making AI. Musenet features ten different instruments that can be utilized in over 15 different types of music. The technology uses a deep neural network trained on data obtained from the internet to rate music over long periods. Musenet's most extraordinary talent is imitating long-dead artists such as Mozart and Beethoven and contemporary composers.
Recent projects are driven by AI:
Holly Herndon's latest album, Proto, was released recently. Every song on this album, including production, lyrics, mixing, and mastering, was created entirely by an AI. An AI even created the cover image for the album. Holly Herndon and her collaborator Mat Dryhurst created the "baby AI Spawn," which is mostly fed by data-driven voices and noises. She had previously released AI-based tracks and, eventually, the whole album "Proto."
AI has also been used to recreate and improve on pieces of major artists that have passed away. Music similar to that of the Beatles was made by the Sony CSL research lab.
AI has also made songs similar to that of Kurt Cobain of Nirvana, Jim Morrison, Amy Winehouse, and legendary guitarist Jimmy Hendrix. Vocals to these songs were made by an AI, and the production which was the theme set was also done by the same AI made by Google named Google AI Magenta.
AI-terity is an instrument that is also entirely based on AI, it allows the breaking and mixing of instruments to create sounds that have never been heard. AI has also allowed people to make songs with the voice of popular artists but with lyrics of their own. Previously, the ‘text to speech’ AI used to feel extremely broken and hard to understand. However, recent progress allows us to choose a specific flow of an artist before converting a verse from text to actual speech.
Concerns regarding AI-based music and audio
There are hazards associated with AI-driven music. One of the biggest concerns is that AI-powered music would eventually replace human musicians and songwriters, putting people out of work. These concerns, however, should be taken with a grain of salt. After all, one thing AI cannot do is be creative like a musician. The fear that AI music may oversaturate listeners owing to repetitious sounds or genres appears to be false. Everyone is free to choose their musical tastes. Consumers instantly turn away if a genre is potentially inundated with repetition, but they do not reject music entirely. Against this context, AI music may result in oversaturation. One of the bigger fears, however, is the fact that AI software to create pieces is rather being used to create vocal deep fakes of influential people. In a world of fake news, rumors, and lies, this may cause damage to society and the image of the person Hence, everyone needs to double-check whether the things they are listening to are even real or not.