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How Artificial Intelligence Is Changing Music Industry for Good

Although people don’t perceive Artificial intelligence as persuasive technology, it is reshaping businesses in many industries. Humans are creative, and they create music using multiple tools and instruments. Artificial intelligence plays a vital role in the music industry, whether consumers know it or not.

Over the past few years, many people have been listening to their favorite music on platforms like Spotify. Even though the ways of consuming music have gone a long way, there is still fierce competition in the music industry. Let us dive deeper into the fact how AI is changing the music industry for good.

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AI offers personal recommendations

The streaming services are gaining popularity due to user-generated content. But artificial intelligence is not limited to personal recommendations for consumers, but it is helping creators create what people want to listen to.

For example, Spotify uploads more than 2000 new songs every day on their app. Now Spotify cannot keep track of the ever-changing taste of every user and display the list of relevant songs to him/her. It is the

AI-enabled software that helps such music store online to recommend music to users according to their tastes. AI tools store the name of artists, genre, and language of music a consumer search and listen and display the songs of the same genre and artists next time on their screen.

Enhances the User Experience

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Artificial intelligence is at the core of enhancing the user experience on various streaming platforms. For instance, AI is working to improve the search results, increase storage, and promises to make searching music more convenient for users.

If we look back a decade ago, we had cassettes and CDs for which we had to visit a physical store and buy them before we can listen. However, the internet has made it easy to access MP3 files. Now, AI has created a scenario in which we don’t even need to search for music.

Alternatively, AI introduces us to the new music and musicians we would possibly enjoy. In a way, you can even say AI is finding new talent in marketing. As this technology is still in its infancy, as it evolves with the platforms themselves, you can also expect it to continue improving the user experience.

AI masters audio cost

With the emergence of computers, big data, and machine learning loosely called artificial intelligence; it is easy to automate human voice mastering process and dramatically changing mastering careers. “This presents an opportunity for up-and-coming musicians, as they can now profit from broadcast quality requirements for a fraction of the costs.

AI helps to create music

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It’s probably not going to come as a surprise by now that AI is making music too. The ever first achievement of smart algorithms in production of music was far back in the 1950s. During the composition, process AI composes music by analyzing data. These algorithms are intelligent enough to determine the patterns in music that users would find appealing, with the help of reinforcement learning.

Let us see some examples of how AI can help in music production.


It might seem unusual; it is one of the most frequent uses of AI in music, though. To do that, you need to teach the AI and feed it with the music that we want to make.


Do you remember listening to your favorite playlist on Spotify, and the program recommends a new album? That is AI operating in context, evaluating the listening behavior of different people. It allows the worldwide dissemination and exploration of music.

Users can get even faster access to music in that way. Such smart musical algorithms can also creatively combine elements to produce a sound we haven’t heard before. The music can only get better as those ML algorithms mature.

AI can generate Lyrics

By continuously leaning the AI technology is being able to extract the thesis and characteristics of music. AI technology is not capable of composing different musical pieces and compiling them together to create tracks. The advanced AI technology will also be able to write the song lyrics. Yes, by training the future AI models with dataset types containing random lyrics and compositions, it will be able to generate lyrics for songs.

The Rise of AI DJ

The Spotify’s discovery weekly and Pandora’s music suggestions are examples of music streaming services using AI technology and machine learning to create personalized features for their customers. There are more than 300K music tracks uploaded on the streaming website every day. Most of the songs go undiscovered by the users because they are not available in user search or just miscategorized.

The AI algorithms can help organize the songs according to the listening preferences or millions of users. AI-enabled applications are taking the personalization of music to a new level and claim to be the AI DJ. Such apps leverage AI technology to learn the art of becoming a music DJ for streaming services. The new breed of AI-driven services will keep the art of personalized music experiences alive in the future.

AI-Driven Promotion

The number of social media users is expected to reach 3.1 billion by 2021, and there is plenty of data for AI to draw yet. Artificial intelligence can draw insights on the fan base of a music company or artist and can determine other preferences of users. For example, you can figure out that your fan has a penchant for a continental diet and prefer jogging over working out in the gym. AI will help business owners with tie- in advertising and cross-promotions to sell their products and services.

Final Words

These are the ways in which artificial intelligence is changing the music industry for good. Despite the ways AI use to personalize music and determine user preferences, it is sure to benefit the creators and marketers. Moreover, it makes it pretty easy for users to find the music within a few seconds without spending much time on the search.

Emily Bartels

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Emily Bartels

Emily Bartels is a Content Writer and Developer at Constant Clicks that helps businesses to grow using digital marketing practices. 

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