Like other industries, in the music industry, AI technology can automate services, discover patterns and insights in a large number of data sets, and improve execution efficiency.

AI promotes the rapid development of music industry

Enterprises are gradually being reshaped by technology, and the music industry is no exception. The McKinsey report shows that by 2030, 70% of companies will adopt at least one AI technology. AI can be used to supplement and enhance human working ability and business efficiency. With the insights and support of AI, we will be able to make better choices more efficiently and drive growth and innovation. Under the influence of AI technology, the creative process may also change.

Scott Cohen is an opinion leader in the music industry. He sees the potential impact of technology on the future prospects of the music industry. His operational ideas for distributors in the digital music era eventually developed into the orchard company, which was acquired by Sony for $200million in 2015. In his keynote speech at the eurosonic nooderslag conference, he said that “every ten years, there will be some things that have a profound impact on the music industry. With this in mind, is there any reason for us to be indifferent to the trends of the scientific and technological community?”

He explained that at present, 20000 new tracks are uploaded to spotify every day, and AI technology can quickly classify these tracks and provide them with recommended content according to their previous preferences. In Cohen’s opinion, the emergence of AI and big data makes “music style” no longer applicable; Because the playlists generated by AI are no longer based on styles and genres, but pay more attention to the quality of the music itself. In addition, he also mentioned that our current model of unlimited selection space will be broken, and recommended a new trusted recommendation model. Blockchain and other technologies can make people no longer need to establish contact with music works through intermediaries. The music industry should also consider how to integrate augmented reality and virtual reality into the concert experience.

AI creating music

As early as 1951, Alan Turing, a British computer scientist, began to record computer-generated music using machines that filled almost the entire floor. In recent years, New Zealand researchers have restored these recordings after 65 years. Nowadays, the attempt of AI or using AI technology to create music continues. Before creating music works, AI will first analyze data from different works. Through reinforcement learning, the algorithm can learn which features and patterns can create pleasant or catchy music melody. AI models can also combine various elements in a unique way to form innovative music numbers.

Technology companies are investing in the future, hoping to use AI technology to create or assist musicians in creating music. Google’s magenta project is an open source platform. The flow machines system jointly written by AI and Sony has released the first original AI work “Daddy’s car”.

Musicians and professionals in the music industry also need to master technical skills as soon as possible to make full use of the power of AI tools to help them better complete their work.

Other AI services such as jukedeck and amper music are also helping amateur musicians write their own music works with the support of AI technology.

Audio control with AI

During the production of audio master tape, AI can also optimize the listening experience for any device. AI based master tape production services (such as landr) provide musicians with an alternative solution that costs much less than human master tape production services. So far, more than 2million musicians have used it to produce more than 10million songs. Although audio master tape production still involves some creative elements, and many people prefer to choose human collaborators, AI technology does help more artists who do not have audio adjustment skills to solve this big problem.

AI, music marketing and discovering the next big star

How will listeners discover new artists, and how should consumers judge whose works to listen to? In this regard, AI technology can also help a lot. According to the 2018 year-end report released by buzzangle music, in this year alone, the number of audio stream hits in the United States reached 534.6 billion. Helping new artists to carry out self marketing will undoubtedly bring high costs. If they cannot effectively complete marketing, a large number of talented artists may be buried. AI technology can help determine which fans will like the works of which artists. Similarly, the AI support function represented by spotify’s discovery weekly can provide a select music shop for each audience and help fans quickly classify music resources to find new works that can really attract them.

AI also brings great help to the music industry through a&r (artists and tracks) discovery. In the past, it was very difficult to sort out music works and find potential non contracted artists; In this era of streaming music, the seriousness of the problem is even higher. Warner Music Group acquired a technology start-up last year, which uses algorithms to review social, streaming and tour data to find promising talents. Apple also acquired a start-up specializing in music analysis to support its a&r process.

All in all, AI technology is quietly changing the way we listen to music behind the scenes.

Responsible editor: CT


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