{"id":17277,"date":"2022-11-29T21:00:11","date_gmt":"2022-11-30T02:00:11","guid":{"rendered":"https:\/\/d3.harvard.edu\/platform-digit\/?post_type=hck-submission&p=17277"},"modified":"2022-11-29T21:00:11","modified_gmt":"2022-11-30T02:00:11","slug":"aiva-technology-composing-music-using-ai","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/aiva-technology-composing-music-using-ai\/","title":{"rendered":"AIVA Technology \u2013 Composing Music using AI"},"content":{"rendered":"\n\n\n

Founded in February 2016 by three musician-entrepreneurs, AIVA technology<\/a> is a Luxembourg-based deep-tech startup that leverages AI to create music. The company\u2019s main product AIVA \u2013 the Artificial Intelligence Virtual Artist \u2013 is able to compose emotional soundtracks for movies, commercials, games, trailers, and TV shows. The mission of the company is \u201cto establish AIVA as one of the greatest composers of all time, and fuel the world with personalized music\u201d. In fact, AIVA is the first-ever AI in the world to officially receive the status of Composer from a rights society, and formally holds the right to own the copyright and receive royalties for the music it composes.<\/p>\n\n\n\n

When it first started, the company focused on developing classical symphonic music for films. Today, AIVA can compose soundtracks in a variety of genres, ranging from electronic to jazz, pop, rock, ambient and exotic styles such as Indian and Chinese, enabling artists to collaborate and compose soundtracks of their desired style. The company serves both individual artists and institutional customers, such as advertising and production agencies. Its goal is to make the music production process easier, faster and smoother without compromising the quality of music.<\/p>\n\n\n\n

How does the technology work? <\/h2>\n\n\n\n

The main technique employed by AIVA is deep learning. Specifically, AIVA reads through a large database of music written by the most famous composers in history, and looks for patterns and rules in the scores to understand the style of the music. According to the company, \u201cAIVA practices its understanding of music by predicting what comes next in the track. Once it gets good at these predictions, it creates a set of mathematical rules for that style of music\u201d. By doing so, AIVA can capture concepts of music theory and produce melodies that are appealing to human ears just by learning from existing musical works. This process of having AIVA learn from trials and errors is called reinforcement learning, a core technique in machine learning.<\/p>\n\n\n\n

But if the algorithm is only based on extracting patterns and replicating them, wouldn\u2019t the music all sound similar? In order to create unique elements, AIVA uses deep neural networks to generate musical variations. For a given musical theme, AIVA iteratively applies changes to the harmony, melody and rhythm of the piece. While staying faithful to the original theme, it gradually moves away from it with each iteration based on the specified preferences indicated by the customer. In this way, the music is personalized to the customer.<\/p>\n\n\n\n

AIVA has been secretive about the specific algorithm it uses to compose music, so certain aspects of the algorithm remain mystical to me. For example, it is unclear whether and to what extent human-defined schemes still play a role in the musical works created by AIVA. Does the neural network completely randomize and restructure the input music in order to produce a new composition, or are human judgement involved at certain stages of the production?<\/p>\n\n\n\n

Pricing<\/h2>\n\n\n\n

AIVA\u2019s pricing structure is a 3-tier licensing model. In the bottom tier, the service is completely free; all copyrights for the generated music belong to AIVA, and the user has no right to monetize the music. Those who subscribe for service at the cost of $35 per month, however, own the copyright of the music and are free to monetize without any restriction. <\/p>\n\n\n\n

Opportunities and Challenges<\/h2>\n\n\n\n

In the past few years, the company has been growing steadily. It has raised more than $1.7 million of capital through VC and angel investors from around the world, and has released several albums, including the classical track \u201cGenesis<\/a>\u201d, the soundtrack for the video game “Pixelfield”, and a variety of other creations. <\/p>\n\n\n\t\t

\n\t\t\t
\n\t\t\t\t<\/div>\n\t\t\t<\/figure>\n\t\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
Figure 1: Pixelfield, the world\u2019s\u200b first\u200b video game with a main theme composed by an Artificial Intelligence<\/figcaption>\t\t\t\t<\/figcaption>\n\t\t\t\t\t<\/div>\n\t\t\n\n\n

<\/p>\n\n\n\n

The AI music industry is growing. AIVA faces competition from other actors such as Amper Music<\/a> and GliaCloud<\/a>. Being able to attract enough subscribers is crucial to AIVA\u2019s growth. In my view, AIVA should position itself as a music incubator, and target advertising and production agencies, not just individual customers. After all, music producers are a specific set of customers to serve, but the entertainment industry is larger, with more ample, varied and sustainable demand for the type of service offered AIVA. <\/p>\n\n\n\n

In addition to competitive pressure, AI music faces its unique challenges. When a AIVA-composed song<\/a> was played at the National Day celebration in Luxembourg in 2017, a newspaper review described it as \u201can affront to Luxembourg composers, a slap in the face of all creative people in the arts.\u201d Controversies around whether AI music impedes creativity and eliminates jobs for human composers abound. On these matters, AIVA emphasizes that their goal is not to replace musicians, but to encourage more collaborations between human and machines. \u201cAI can fix writer\u2019s block, and address use cases that composers alone cannot solve, but still need humans to be brought to life, with real instruments and a conductor\u2019s irreplaceable artistic supervision,\u201d the company says.<\/p>\n\n\n\n

AI music is also a nascent industry where regulations fall behind. At some point in the future, the company might need to deal with regulatory risks around copyright issues. The company should anticipate such risks and expand its service beyond mere music production and copyright ownership. Looking to the future, more diverse, creative, and collaborative services add both attraction and protection to AIVA and its entrepreneurial, social, and artistic mission.<\/p>\n","protected":false},"excerpt":{"rendered":"

Is an artificial intelligence virtual artist able to compose emotional music? <\/p>\n","protected":false},"author":19377,"featured_media":17344,"comment_status":"open","ping_status":"closed","template":"","categories":[],"class_list":["post-17277","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/machine-learning-3\/","yoast_head":"\nAIVA Technology \u2013 Composing Music using AI - Digital Innovation and Transformation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/d3.harvard.edu\/platform-digit\/submission\/aiva-technology-composing-music-using-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AIVA Technology \u2013 Composing Music using AI - Digital Innovation and Transformation\" \/>\n<meta property=\"og:description\" content=\"Is an artificial intelligence virtual artist able to compose emotional music?\" \/>\n<meta property=\"og:url\" content=\"https:\/\/d3.harvard.edu\/platform-digit\/submission\/aiva-technology-composing-music-using-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"Digital Innovation and Transformation\" \/>\n<meta property=\"og:image\" content=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2022\/11\/logo2.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"480\" \/>\n\t<meta property=\"og:image:height\" content=\"360\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/d3.harvard.edu\\\/platform-digit\\\/submission\\\/aiva-technology-composing-music-using-ai\\\/\",\"url\":\"https:\\\/\\\/d3.harvard.edu\\\/platform-digit\\\/submission\\\/aiva-technology-composing-music-using-ai\\\/\",\"name\":\"AIVA Technology \u2013 Composing Music using AI - 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