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AI Revolutionizing Music: Composition, Performance, and Beyond

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Статья исследует использование искусственного интеллекта в музыке, включая проекты, такие как NSynth Super от Google и AIVA, которые помогают музыкантам создавать новые звуки и композиции. Рассматриваются исторические примеры и современные достижения в области компьютерной музыки.
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes
  • main points

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      Обширный обзор исторических и современных проектов ИИ в музыке
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      Подробное описание различных алгоритмов и их применения
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      Интересные примеры успешного использования ИИ в музыкальной индустрии
  • unique insights

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      Искусственный интеллект может не только генерировать музыку, но и взаимодействовать с музыкантами в реальном времени
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      Проекты, такие как Iamus и AIVA, показывают, что ИИ может создавать оригинальные музыкальные произведения
  • practical applications

    • Статья предоставляет ценные примеры и идеи для музыкантов и разработчиков, интересующихся применением ИИ в музыкальном творчестве.
  • key topics

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      Искусственный интеллект в музыке
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      Исторические примеры компьютерной музыки
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      Современные проекты и достижения в области ИИ
  • key insights

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      Обширный анализ использования ИИ в музыкальной индустрии
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      Информация о различных алгоритмах и их применении
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      Примеры успешных проектов, демонстрирующих возможности ИИ
  • learning outcomes

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      Понимание роли ИИ в современном музыкальном творчестве
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      Знание о различных проектах и алгоритмах, использующих ИИ в музыке
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      Способность применять идеи из статьи в собственных музыкальных проектах
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Introduction: The Rise of AI in Music

Artificial intelligence (AI) is rapidly changing various aspects of our lives, and the music industry is no exception. From composing original pieces to assisting musicians with their creative process, AI is proving to be a powerful tool. This article explores the innovative ways AI is being used to create music, highlighting key projects, companies, and trends in this exciting field. Discover how AI tools are revolutionizing music composition and performance.

Early Pioneers of AI Music

The concept of using computers to generate music dates back to the early 1960s. French architect and composer Iannis Xenakis pioneered the use of computer-generated sounds using programs written in Fortran. In the 1980s, Kemal Ebcioglu developed an algorithmic system for harmonizing chorales in the style of Bach. These early efforts laid the groundwork for the more sophisticated AI music systems we see today. These pioneers set the stage for future advancements in AI-driven music creation.

Key AI Music Projects and Companies

Several projects and companies are at the forefront of AI music innovation. Google's Magenta project introduced NSynth Super, an experimental instrument that uses deep neural networks to generate unique sounds and samples. Flow Machines, a research project led by François Pachet, has created AI systems capable of composing songs in collaboration with human composers. Endel, a German startup, has developed a cross-platform audio system that generates personalized music based on the time of day, weather, and user activity. These AI tools are pushing the boundaries of what's possible in music creation.

How AI is Transforming Music Composition

AI algorithms are now capable of analyzing musical principles and composing original pieces in various styles. John Biles developed GenJam, an algorithm that can improvise jazz compositions. François Pachet's Continuator algorithm was so convincing in a Turing test that most listeners couldn't distinguish its melodies from those of a human pianist. Emily Howell, created by David Cope, is an AI program that composes symphonic music in its own style. These AI tools are demonstrating the potential of AI to create complex and original musical works.

AI in Music Performance and Improvisation

AI is also being used to enhance music performance and improvisation. Alice, an AI developed by Popgun, can sing and play along with performers in real-time, improvising and arranging music on various instruments. The Watson Beat, created by IBM Research, uses reinforcement learning and deep belief networks to generate music based on data about music and culture. These AI tools are enabling new forms of musical expression and collaboration.

AI's Role in Digital Marketing for Music

AI is playing an increasingly important role in digital marketing for the music industry. Companies like Asaii use AI algorithms to identify promising artists before they become popular. Instreamatic uses AI to transform audio advertising into interactive dialogues with listeners. AI is also being used to personalize music experiences, such as creating AI-powered DJs that adapt music to the mood of the audience. These AI tools are helping music companies and artists connect with their audiences in new and innovative ways.

The Future of AI and Music: Personalization and Beyond

The future of AI in music is likely to involve even greater personalization and collaboration. AI could be used to create personalized soundtracks for individuals based on their activities and emotions. AI could also be used to assist musicians in the creative process, providing feedback and suggestions. As AI technology continues to evolve, it is likely to have a profound impact on the way music is created, performed, and consumed. The possibilities for AI music are endless.

AI Music in Russia: A Growing Trend

In Russia, there is growing interest in the use of AI in music. Yandex, a Russian technology company, has experimented with AI to create a symphonic album based on the music of Grazhdanskaya Oborona. Another AI system developed by Yandex co-authored a piece for viola and orchestra. These projects demonstrate the growing potential of AI in the Russian music scene. As AI technology becomes more accessible, it is likely to play an increasingly important role in the country's music industry.

 Original link: https://vc.ru/future/63431-i-dzhaz-i-elektronika-proekty-kotorye-ispolzuyut-iskusstvennyi-intellekt-dlya-sozdaniya-muzyki

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