How Artificial Intelligence Benefits the Music Industry
Artificial Intelligence (AI) has made its contribution to the success of almost every industry. You will not be surprised that AI has made its mark on modern music as well. We are starting to witness the use of such technologies to enhance both the production and distribution industry.
Music content is continuously created, optimized, and complemented through AI. On the other hand, applications (such as Spotify) can personalize the user experience by using deep learning and machine learning methods to analyze data from user activity.
In 1951, the world-renowned computer scientist Alan Turing was able to create the first computer-generated music ever. The machine took up the space of the entire lab. It is safe to say that we have come a long way in terms of computer-generated music as most laptops and workstations can now support various Digital Audio Workstation (DAW) rendering possible.
Furthermore, music composition by or with the support of AI is prevalent in our modern world. AI starts by analyzing training data sets from existing compositions.
AI use reinforcement learning algorithm by using the components in music such as key structures and tempos. Music producers use this form of reinforcement learning to understand the characteristics of a specific music genre and the efficiency of production of such music.
AI serves to improve music production by suggesting avant-garde music mixing and mastering tips. This type of tool becomes a companion for music producers to improve equalizer (EQ). Human-based mastering is expensive; hence some artists use AI-based mastering services (such as LANDR). Online cloud-based services provided by LANDR are helping a lot of artists to ease the process of mastering.
As of 2020, over two million musicians have used LANDR to master over ten million songs. While some may prefer the human aspect of mastering, AI has given artists the option to produce professional music at a cheaper cost.
Spotify is the world’s most popular audio streaming subscription service with 320 million users, including 144 million subscribers across 92 countries. Every Monday, Spotify can provide its users with a playlist of new song recommendations customized to their personal preferences derived from their listening history and songs they have liked.
One of the AI methods Spotify uses is collaborative filtering, which involves analyzing various users related playlists. The algorithm looks at other songs that appear in the playlist and recommends those songs to the users.
One of the AI methods Spotify uses is collaborative filtering, which involves analyzing various users related playlists. The algorithm looks at other songs that appear in the playlist and recommends those songs to the users.
The third method used by Spotify in Natural Language Processing (NLP) refers to an algorithm’s ability to comprehend both text and speech in real-time. Spotify surfs through thousands of blogs, articles, and forums to find the keywords used to describe both songs and artists. The algorithm then matches songs and artists that have similar profiles.
As highlighted by AI’s presence in the music industry today, there is no limit to the variety of applications possible. Helping in both the production and consumption of music, AI will maintain its reputation as a crucial part of the industry for years to come.