Monday, October 12, 2020

8 Ways AI Is Helping Musicians And The Whole Music Industry | Music Think Tank

Music is a great part of the daily lives of the majority of this entire population. It could be listening to your favorite song on the way to work or perhaps it might be even a cultural song performed at an important ceremony. 

Different genres of music have grown to be loved by billions of people worldwide. This love is mainly due to the emotions that are invoked by music. That is why independent record labels have worked on unleashing different types of talent in the music industry to touch their audience’s emotions.

So, what is music to become when it is blended with machine technology? Here are 8 ways artificial intelligence is being implemented in the music industry and the impact of such.

Personalizing music suggestions

Music has come a long way from vinyl to cassettes and compact disks since it has now reached completely digital means to playback songs.

Users have all the power within their hands because they can get whatever song at any time on streaming apps like Spotify and Deezer. All of these platforms have amazing features which include music suggestive functionalities.

Using this technology, you can get personalized recommendations of music you are in love with and favor. All of these features are fueled by AI. Big data is collected on behavioral cues exhibited by users of these apps and that is combined with other insights to come up with relevant recommendations.

Some of the other insights needed for this includes analyzing the music choices of individuals with similar behavioral cues as yours.

Ranking popular songs and artists

Nowadays, there could be hundreds to thousands of new music that is released each day. Users engage differently in each song that has been released and there are various platforms and websites that need more insights about each song.

Some of those platforms include music charts which rank each song by popularity and how the audience received it. Without AI, getting these insights can be very tedious and it would take forever.

Fortunately, AI can rank popular songs and keep the charts live with real-time updates. If anything changes about the popularity of a song or if new music is released and supersedes current chart-toppers, they will be changed autonomously. The same applies to musicians, they are ranked according to the popularity and other factors relevant to the artist chart AI algorithms could be gathering data for.

Implementing predictive modeling in the music industry

Predictive modeling has been put to great use in the music industry and it adds so much value to both artists and record labels. These AI-powered algorithms have the core function of spotting and predicting future trends in the music industry. You can gain insights into what genre will get more popularity and even identify artists that might go big.

All of this data can help especially recording labels to identify talent that will generate them more revenue. Musicians can capitalize on these algorithms by identifying trends in popular genres.

Once they have this information, musicians can plan their collaborations accordingly to feature that genre. Also, if they are thinking about planning a hybrid concert, they will invite relevant talent which is popular in that season.

Rushing towards fully automated music production

A lot of AI developers focused on the music industry are rushing towards releasing algorithms that take care of the better part of music production. That even includes the creative part of writing lyrics and identifying the perfect voice tone for it. There has been a lot of progress in this field and some developers have managed to create rudimentary tracks on their projects.

Music that is proposed by AI developers is the ultimate perfection in the musical arena. Machine-learning algorithms can identify the perfect notes and which voice tone and pitch is perfect for that song.

All of this is possible by gathering insights on various songs that have topped charts in the past. Google has even joined in this race under its Magenta program. A meaningful breakthrough in this regard will completely disrupt the music industry.

AI helps musicians look into the future

Musicians can use AI to try and look into the future and predict how successful their tracks will be. This can help them identify which songs should be marketed to a greater extent. You might also identify the perfect song that deserves a music video.

Using data of songs that topped charts historically, they can gauge the measure of success for their music. With this information, musicians can also focus on creating at least one or two songs that will be crowd-pleasers.

Those songs can attract a larger audience and make them fall in love with that artist and its other songs. There are various ways that musicians can use this kind of information meaningfully. Regardless of how they use it, this information can prove to be very useful in making it to the top of the charts and getting recognition.

Fully automated mastering process

Mastering songs can be a little bit expensive for artists, especially ones that are just starting out. To try and meet these artists halfways, AI developers in the music industry are piloting mastering algorithms.

These algorithms can help artists in this sound engineering phase of producing a song. This can reduce music production costs significantly and give upcoming musicians a fair chance.

Also, fully automating this task can help free up the time producers have to focus on other musical elements. A fully automated music mastering process has multifold benefits for both parties - musicians and producers. Hopefully, this technology will be more mainstream in the near future so it can be used in a scaled manner.

Promoting upcoming musicians

There are millions of highly talented musicians all around the globe that have not received the recognition they deserve. This limits their potential and they might start losing the fire within them if they are not receiving that recognition. To give these musicians a better chance at succeeding, they can also submit their songs to streaming services like Deezer and Spotify.

These songs will be suggested amongst the greatest music which the targeted audience listens to. Users will then be more prone to open it and uncover great talent that shall be no longer hidden from the world. This technology is hoping to open a lot more opportunities for upcoming artists in the pipeline.

Future concepts of AI in the music industry

Although the music industry is completely evolving because of AI technology, it has not reached the level developers are hoping for. AI developers are slowly gunning for a day where their algorithms will be able to complete an entire song from scratch. Although this has been attempted by various companies before, nobody has done it in a scaled and sustainable manner.

That day might come way sooner than expected since the development of these technologies is accelerating now more than ever. Until then, users will continue using AI and machine learning algorithms in the ways mentioned above.

The bottom line

Who knew that the music selection you have grown so fond of would ever be suggested and selected by a robot? Nobody also knew that AI would impact the careers of musicians, even upcoming ones that have not gained much fame yet. There is still a lot more AI is promising in the music industry and this entire sector will be disrupted when this technology unleashes its full potential.

Author Bio:

Joe McLean works as a freelance thesis and dissertation writer consultant with the best assignment writing service. It is considered the best thesis writing service and his work has received high praises on the essay writing service reviews. He is currently authoring a book on the role of AI in transforming education.

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