Undoubtedly, artificial intelligence has an indispensable impact on the creativity of the music industry. The promise of AI in music industry complements & augments human capabilities.
As we become more efficient and go for better choices, it is all because of the support given by AI resulting in higher growth and innovation.
As per the McKinsey report, it is predicted that around 70% of the companies will embrace AI technology by the year 2030. There is a significant rise in AI technology and music software programs that includes the integration of AI in music composition, performance, learning, and digital processing.
Did you know? Scott Cohen, one of the leading music industry executives realized the scope of AI in music industry and its future. His thoughts for a distribution company in the digital music era eventually turned to ‘The Orchard’ was the first digital distributor of music. It is now owned by Sony music.
Now, AI-generated music has made it simpler for users to make professional music from any device at low rates. Here are various ways that artificial intelligence is transforming the music industry:
1. Generation of Music
With AI mastering the music industry, users get a plethora of music creation and music remix tools to generate their own style of beats. AI music generator is gaining vast popularity among popular artists/musicians who are really inspired by AI-generated albums.
For example, a known online musician and ai music composer – Taryn Southern said that ‘her source of inspiration comes from her AI-driven lyrics and vocal melodies and uses that in her actual music’.
She had a song ‘Break free’ which was created through AI composed parts and later got modified in the musical making with the help of instrument switches and keynotes.
Few famous services for creating music are IBM Watson Beat, Jukedeck, Melodrive, Google, Google Magenta’s NSynth Super, etc. There are several other AI music generator tools that help both amateur and professional artists in creating their pieces of artwork.
The various tools of AI in music industry are –
- PhonicMind – PhonicMind is one of the best vocal remover tools on the internet which uses the state of the art AI techniques to remove vocals, drums, bass, etc from any song to achieve a high-quality performance. One can use it to quickly produce AI generated music specifically karaoke tracks out of any preferred songs.
- Magenta – Magenta is an open-source library that is powered by Tensorflow based project to generate a new model by training an existing model in the creative process. Magenta Studio is an application to make music and acts as a plugin to Ableton Live which is a well-known DAW used by musicians to manipulate source data like images, music, etc. Magenta was started by engineers of Google for generating AI in music industry, songs, and other materials for music enthusiasts.
- LANDR – Developed by MixGenius, Landr is an online software for AI generated music to let users master the track with the best sound every time. It makes the music process easy, fast, and affordable that fits the creative vision of the artist. Landr, now has expanded its services to the Distribution of music, Samples Library, Virtual Studio Technology, and Plugins.
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2. Streaming Music
There is no doubt that AI plays an incredible role in music streaming. On streaming platforms, AI in music industry is used to study the listening patterns and song preferences of users across the globe. It works the best in figuring the common patterns within the songs produced.
The world popular music streaming platform, Spotify comprises AI-driven features like ‘Spotify’s Discover Weekly’ that offers a customized list of songs for every enthusiast on a weekly basis. It actually depends on the streaming or listening habit, musician taste or preference, etc.
Do you know, AI is the secret of Spotify’s success and popularity?
Presently, Spotify has more than 280M users and occupies 40% of the global music market. Spotify’s AI technologies recommend songs to its users in a highly personalized manner depending on the number of songs repeated and other actions taken by the users.
Then what’s more interesting is that a million users are analyzed later to discover others who have similar interests. AI wipes out the need to buy tapes, records, or CDs to listen to the favorites ensuring that one can streamline music anytime and anywhere.
Various other players in the market are using AI to improve their services like ‘Genius Playlist’ by Apple. This feature allows users to select a song out of the playlist that generates another playlist of similar songs to the selected one.
The overall progress of AI in music industry has incredibly accelerated in the past few years, thanks to a ballooning number of content creators on various social media platforms.
3. Music Mastering, Monetizing, And Education
Many companies use AI technology to process data and track music usage across various platforms.
To start with, BMA which is a music company in Barcelona gets its root from audio fingerprinting technology to identify the uniformity in various sounds and machine learning algorithms to track the music making compositions.
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For the newbies or fresher musicians, music machine learning will be a great choice, and using AI, they can operate on a free base. There are other music tools that give real-time reviews on the progress while learning how to play an instrument.
This is the main concern of AI in music industry to flatten music into functional and instrumental sounds.
Overall, AI technology helps in making AI generated music which is royalty-free music for musicians, budgeted music mastering platforms, and other music learning applications. Another company that masters AI engine is LANDR.
This helps in extracting data from the tracks and integrates it with the other engineer’s thoughts. It provides popular distribution services across various platforms allowing artists to have full sales and rights.
4. Discovery Of Hit Songs For Record Labels
AI composed music makes it easier for recording companies to survey several songs to identify what is likely to be famous among the music community. Wondering how?
They use demographic information obtained from listeners to check whether a particular music composition appealing to listeners or not.
For example, Musiio, the music tech company in Singapore uses artificial intelligence to analyze the top-listed songs for record labels and distribution services. It was founded by Hazel Savage who has 12 years of experience in the tech-music industry and is more focused on B2B space.
5. Marketing Music and Identifying the Upcoming Stars
Do you ever wonder that how do listeners explore the new artists or decide who to listen to? Significantly, AI created music helps them to discover this.
In the year 2018, the audio-on-demand streamed around 534.6 Billion in the US alone as per BuzzAngle Music’s Year-end Report. It is hard and quite expensive to help new artists gain popularity amongst the music community and get discovered. With the help of AI technology, the fans can determine which music to listen to as per their taste.
Believe it or not, AI is also helping the industry with A&R discovery (Artist and repertoire) which helps to find promising musicians who are not signed to a label. In fact, Apple has also acquired a start-up with a specialization in music analytics to assist the A&R process.
AI is behind the scenes leveraging the music we listen to in various ways.
We hope this article gives real insights into how AI in music industry has completely revolutionized the music ecosystem. It is predicted that AI will invite big opportunities for new musical possibilities in the near future.
So, when it comes to artificial intelligence, you must consider more than just the technology. Undeniably, The domination of these technologies is ready to support and transform as many businesses to avail benefits.