AI in Music is a big topic in many industries, but it’s especially sensitive in music or the arts. It’s reshaping the music industry by transforming how we create, produce, and consume music. Incorporating artificially intelligent technology in music has created previously imagined potential and possibilities.
As we proceed, we’ll look at the future of music through the lens of artificial intelligence, exploring how it affects music creation, production, and consumption.
AI Clones Drake’s Voice for Viral Music Track
A new music track has gone viral on social media, featuring the voice of Drake. But there’s a catch: the voice isn’t Drake’s. It’s been created using artificial intelligence (AI).
The track, called “Heart On My Sleeve,” was created by an AI developer known as Ghostwriter. Ghostwriter used a technique called deepfake to create the track. Deepfake is an AI that can create realistic-looking fake videos or audio recordings.
In the case of “Heart On My Sleeve,” Ghostwriter used deepfake to create a vocal track that sounds like Drake is singing about Selena Gomez. The track has been viewed over 10 million times on TikTok and shared by thousands of people on social media.
Some people have praised the track, saying it’s a creative and innovative use of AI. Others have criticized the track, saying that using AI to create fake content is unethical.
Regardless of how you feel about the track, it’s clear that AI is becoming increasingly sophisticated. And as AI develops, we’ll likely see even more creative and innovative uses of this technology.
Here are some additional details about the track:
- The track was created using a technique called deepfake.
- Deepfake is an AI that can create realistic-looking fake videos or audio recordings.
- The track has been viewed over 10 million times on TikTok.
- The track has been shared by thousands of people on social media.
- Some people have praised the track, saying it’s a creative and innovative use of AI.
- Others have criticized the track, saying that using AI to create fake content is unethical.
AI in Music Creation
One of AI’s most notable advantages in producing music is its ability to create music reminiscent of well-known composers or artists.
AI-generated music can be created using the aid of neural networks, a type of AI that can learn from examples and create new content based on the learned patterns.
This technology has been utilized to create unique music that sounds similar to the works of Mozart, Devin the Dude, Snoop Dogg, and Beethoven, among others.
AI can also create original music. This technology can assist artists such as musicians and composers breakthrough creative obstacles and generating new ideas.
Amper Music, for example, is an AI-powered platform that allows users to produce original music by choosing a genre, tempo, and mood. The platform subsequently creates an entire track that may be used in various media applications.
AI could also assist musicians and composers in collaborating and creating music. AIVA (Artificial Intelligence Virtual Artist), for example, is an AI-powered virtual composer that can generate music and collaborate with artists to create original pieces of music.
The technology may respond in real time to the musician’s input, leading to an increase in collaboration and efficient methods of creation.
AI in Music Production
Artificial intelligence is an additional way to increase the quality and efficiency of the music production process.
Artificial intelligence (AI) can, for example, be used to analyze recorded tracks and detect flaws or irregularities that human ears might ignore. This approach helps producers save time while improving overall product quality.
AI can also be utilized to help with mixing and mastering. For example, LANDR is an AI-powered mastering tool that evaluates and enhances the sound of a recording using machine learning techniques.
This type of technology can improve the music’s professional and polished sound.
AI in Music Consumption
AI is altering the way people listen to music. AI is used by music streaming companies such as Spotify and Apple Music to make suggestions for tracks and playlists that reflect an individual’s listening history.
This technology can assist users in discovering new artists and songs that they might not have discovered otherwise.
AI can be used to customize the music listening experience along with recommendation engines. Moodagent, for example, is an AI-powered platform that generates personalized playlists corresponding to the user’s mood.
The platform analyzes the user’s music library and generates a playlist based on their mood.
This is an instance of how AI clones the voices of Drake, and The Weeknd has gone viral on social media.
The song “” uploaded by anonymous TikTok user Ghostwriter977 over the weekend and has taken the internet by storm. Drake also expressed disdain after an unauthorized AI-generated cover of him rapping Ice Spice’s song “Munch” recently went viral.
The Future of AI in Music
AI integration in music has created new creation, production, and consumption opportunities.
However, the future of artificial intelligence in music goes beyond these applications. AI could be utilized in the future to generate completely original music that has not been produced before.
Google researchers have already made great progress in this area. They created MusicVAE, an AI model that can make original music that is not based on any existing works. The technique can also be used to generate music that is customized to the user’s preferences.
Live music performances are another sector where AI might have an enormous impact. Artificial intelligence-powered instruments could be utilized to make music that traditional instruments cannot produce.
For example, Zenph’s AI-powered piano can accurately imitate the sounds of legendary pianists such as Glenn Gould and Sergei Rachmaninoff.
However, the use of AI in music raises ethical concerns. There is a concern, for example, that AI-generated music will lead to a loss of originality and creativity in music.
Critics contend that AI-generated music lacks the sense of emotional depth and intimate touch that human-made music possesses.
The ownership and copyright of AI-generated music are another ethical dilemmas. It is uncertain who possesses the rights to AI-generated music and how it can be utilized and distributed.
As AI technology is integrated into the music industry, such a matter requires careful consideration.
How can AI be used to fight Copyright?
Artificial intelligence (AI) is increasingly being used to fight copyright infringement. AI can be used to:
- Identify copyrighted content: AI can scan large amounts of data, such as the internet, for copyrighted content. This can help copyright holders to identify and track down infringing content.
- Monitor social media: AI can be used to monitor social media platforms for copyrighted content. This can help copyright holders to identify and take down infringing content quickly.
- Detect Deepfakes: AI can detect deep fakes, videos or audio recordings manipulated to make it appear that someone is saying or doing something they never actually said or did. This can help protect public figures’ reputations and prevent the spread of misinformation.
- Negotiate licensing deals: AI can be used to negotiate licensing deals between copyright holders and content users. This can help streamline licensing copyrighted content and ensure copyright holders are compensated for their work.
As AI continues to develop, it will likely play an even greater role in the fight against copyright infringement.
AI has altered the music industry in previously unthinkable ways. AI is pushing the frontiers of what can be accomplished in the composition and production of music, from composing music that replicates the style of legendary composers to generating new kinds of music.