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    Artificial Intelligence Music: Fundamentals and Applications
    Artificial Intelligence Music: Fundamentals and Applications
    Artificial Intelligence Music: Fundamentals and Applications
    Ebook83 pages34 minutesArtificial Intelligence

    Artificial Intelligence Music: Fundamentals and Applications

    By Fouad Sabry

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    About this ebook

    What Is Artificial Intelligence Music


    The International Computer Music Conference, the Computing Society Conference, and the International Joint Conference on Artificial Intelligence are all gathering to discuss artificial intelligence and music (AIM), which is an acronym for artificial intelligence and music. 1974 marked the year that Michigan State University played host to the very first International Computer Music Conference (ICMC). The use of artificial intelligence in musical composition, performance, theory, and digital sound processing is a topic of active investigation at the moment.


    How You Will Benefit


    (I) Insights, and validations about the following topics:


    Chapter 1: Music and artificial intelligence


    Chapter 2: Digital art


    Chapter 3: Algorithmic composition


    Chapter 4: Computational creativity


    Chapter 5: Pop music automation


    Chapter 6: AIVA


    Chapter 7: Artificial intelligence art


    Chapter 8: Synthetic media


    Chapter 9: Generative pre-trained transformer


    Chapter 10: Artificial intelligence and copyright


    (II) Answering the public top questions about artificial intelligence music.


    (III) Real world examples for the usage of artificial intelligence music in many fields.


    (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence music' technologies.


    Who This Book Is For


    Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence music.

    LanguageEnglish
    PublisherOne Billion Knowledgeable
    Release dateJul 4, 2023
    Artificial Intelligence Music: Fundamentals and Applications

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      Book preview

      Artificial Intelligence Music - Fouad Sabry

      Chapter 1: Music and artificial intelligence

      AIM, which stands for artificial intelligence and music, is a topic that is frequently discussed at events such as the International Computer Music Conference and the Computing Society Conference. Applications of artificial intelligence in music composition, performance, theory, and digital sound processing are currently the focus of research.

      The creation of music software programs that make use of artificial intelligence to create music is an important part of this field. Additionally, artificial intelligence is the driving force behind the technology known as interactive composition, in which a computer composes music in response to a live performance. Other applications of AI in music include not only music composition, production, and performance but also how music is marketed and consumed. These other applications cover all aspects of the music industry. A number of music player programs that make use of voice recognition and natural language processing technology for music voice control have also been developed.

      Rudolf Zaripov, a researcher from Russia, published the world's first paper on algorithmic music composing in 1960. He did so using the computer known as the Ural-1..

      Multimedia Scenarios in interactive scores are represented by temporal objects, temporal relations, and interactive objects. Examples of temporal objects are sounds, videos and light controls. Temporal objects can be triggered by interactive objects (usually launched by the user) and several temporal objects can be executed simultaneously. A temporal object may contain other temporal objects: this hierarchy allows us to control the start or end of a temporal object by controlling the start or end of its parent. Hierarchy is ever-present in all kinds of music: Music pieces are often hierarchized by movements, parts, motives, measures, among other segmentations.

      The goal of the Computer Music Project at Carnegie Mellon University is to improve human musical experience and creativity by developing computer music and interactive performance technology. The fields of Music Theory, Cognitive Science, Artificial Intelligence and Machine Learning, Human Computer Interaction, Real-Time Systems, Computer Graphics and Animation, Multimedia, Programming Languages, and Signal Processing are all utilized in this collaborative endeavor that spans multiple disciplines.

      ChucK is a text-based, cross-platform programming language that was developed at Princeton University by Ge Wang and Perry Cook. It enables real-time synthesis, composition, performance, and analysis of musical compositions. as well as PLOrk (Princeton Laptop Orchestra).

      People were able to use artificial intelligence on the website Jukedeck to generate original music that could be used in videos without having to pay royalties.

      MorpheuS is a research project that is being carried out at Queen Mary University of London by Dorien Herremans and Elaine Chew, funded by a Marie Skłodowská-Curie EU project.

      Existing template pieces are transformed into novel pieces by the system using an optimization strategy that is based on an algorithm for variable neighborhood search. These novel pieces have a predetermined level of tonal tension that varies in a dynamic manner throughout the piece.

      This optimization approach makes it possible to integrate a pattern detection method in order to impose long-term structure and recurring themes on the music that is generated.

      Concerts held in both Stanford and London have featured MorpheuS's original compositions and have been attended by the composer.

      AIVA is a program that was developed in Luxembourg in February of 2016 with the purpose of creating soundtracks for any kind of media. Deep learning architectures were used in the creation of AIVA's album I am AI in 2018, which was created using the algorithms that AIVA uses.

      Since their debut in 2016, the Magenta team at Google has released a number of artificial intelligence (AI) music applications as well as technical papers.

      Riffusion is a neural network that was developed by Seth Forsgren and Hayk Martiros. It is capable of producing music by employing images of sound rather than actual audio.

      Riffusion is a type of text-to-music generator that falls under the umbrella of artificial intelligence. In December 2022, Mubert

      There is no clear answer to the question of who owns the copyright to music outputs created by AI. When artificial intelligence is used as a collaborative tool as part of the human creative process, it is likely that current copyright laws in the United States will apply.

      {End Chapter 1}

      Chapter 2: Digital art

      An artistic piece or practice is referred to as digital art when it incorporates digital technology as part

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